CN112351734A - Monitoring equipment, monitoring information display method and device - Google Patents
Monitoring equipment, monitoring information display method and device Download PDFInfo
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Abstract
A monitoring information display method comprises the steps of obtaining measurement data of at least one physiological sign parameter of a monitored subject, wherein the measurement data of the physiological sign parameter is obtained from the monitored subject through at least one physiological sign sensor; acquiring data of the at least one physiological sign parameter within a preset time length; performing distribution statistics on the data within the preset time length based on at least one parameter value partition, and determining a distribution statistical result corresponding to the parameter value partition; the parameter value partition represents a numerical interval of the physiological sign parameter; providing a monitoring interface, and generating a measurement data display area (201) and a distribution statistics special display area (202) on the monitoring interface; and displaying the measurement data of at least one physiological sign parameter in a measurement data display area (201) of the monitoring interface, and displaying the distribution statistical result in a distribution statistical special display area (202) of the monitoring interface.
Description
The present application relates to the technical field of monitoring devices, and more particularly, to a monitoring device, a monitoring information display method and an apparatus.
In the medical field, there is a need to monitor the physical state of a patient. Specifically, the monitoring device can monitor physiological parameters of the patient through various measurement modules, and these physiological parameters need to be provided to medical staff, so that the medical staff can judge whether the body of the patient is in a normal state or an abnormal state according to the condition of the parameter values. If the abnormality is found, the medical staff needs to take corresponding rescue measures in time to restore the body state to normal.
Therefore, a technical solution is needed to display the monitored physiological parameters as a basis for medical staff to determine the physical status of the patient.
Disclosure of Invention
In a first aspect, the present application provides a monitoring information display method, including:
obtaining measurement data of at least one physiological sign parameter of a monitored subject, wherein the physiological sign parameter is obtained from the monitored subject through the measurement data and at least one physiological sign sensor;
acquiring data of the at least one physiological sign parameter within a preset time length;
performing distribution statistics on the data within the preset time length based on at least one parameter value partition, and determining a distribution statistical result corresponding to the parameter value partition; the parameter value partition represents a numerical interval of the physiological sign parameter;
providing a monitoring interface, and generating a measurement data display area and a distribution statistics special display area on the monitoring interface;
and displaying the measurement data of the at least one physiological sign parameter in a measurement data display area of the monitoring interface, and displaying the distribution statistical result in a distribution statistical special display area of the monitoring interface.
In a second aspect, the present application provides a monitored information display device, comprising:
the system comprises a measurement data acquisition module, a data processing module and a data processing module, wherein the measurement data acquisition module is used for acquiring measurement data of at least one physiological sign parameter of a monitored subject, and the measurement data of the physiological sign parameter is acquired from the monitored subject through at least one physiological sign sensor;
the data acquisition module is used for acquiring data of the at least one physiological sign parameter within a preset time length;
a statistical result obtaining module, configured to perform distribution statistics on the data within the preset time length based on at least one parameter value partition, and determine a distribution statistical result corresponding to the parameter value partition; the parameter value partition represents a numerical interval of the physiological sign parameter;
and the display module is used for providing a monitoring interface, displaying the measurement data of the at least one physiological sign parameter in a measurement data display area of the monitoring interface, and displaying the distribution statistical result in a distribution statistical special display area of the monitoring interface.
In a third aspect, the present application further provides another monitored information display method, including:
acquiring data of at least one physiological sign parameter of a monitored subject within a preset time length, wherein the data of the at least one physiological sign parameter of the monitored subject within the preset time length is acquired from the monitored subject through at least one physiological sign sensor;
performing distribution statistics on the data within the preset time length based on at least one parameter value partition, and determining a distribution statistical result corresponding to the parameter value partition; the parameter value partition represents a numerical interval of the physiological sign parameter; the numerical value area is determined based on one or more of an alarm threshold value, a baseline range and a treatment target range corresponding to the physiological sign parameters;
providing a monitoring interface, and generating a distribution statistics special display area on the monitoring interface;
and displaying the distribution statistical result in a distribution statistical special display area of the monitoring interface.
In a fourth aspect, the present application provides a monitoring device comprising:
a display configured to display information;
a processor executing program instructions to implement the steps of the monitored information display method provided according to the first aspect or the second aspect of the present application.
In a fifth aspect, the present application provides a readable storage medium, on which a computer program is stored, and the computer program, when being loaded and executed by a processor, implements the monitoring information displaying method according to the first aspect or the second aspect of the present application.
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a monitoring information display method;
FIGS. 2A-2G are various schematic views of a monitoring interface;
FIG. 3 is a schematic view of a monitoring information display device;
fig. 4 is a schematic diagram of a hardware structure of the monitor.
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the medical field, there is often a need to monitor the physiological state of the body of certain patients. Therefore, there is a need to monitor physiological parameters of a patient and present them to medical personnel. When the medical staff finds the abnormal state of the patient according to the physiological sign parameters, and provides rescue measures for the patient in time.
The application provides a monitoring information display method which can be applied to various monitoring devices. Referring to fig. 1, a flow of the monitoring information display method specifically includes the following steps 1.1-1.5.
Step 1.1: measurement data of at least one physiological sign parameter of a monitored subject is obtained. The measured data of the physiological sign parameter may specifically be currently measured data.
The monitored object can be a patient object or an object with other monitoring requirements, and the physiological sign parameters are obtained from the monitored object through measurement data of at least one physiological sign sensor.
Using a vital sign parameter accessory device (e.g., blood oxygen probe), measurement data of a physiological vital sign parameter of a monitored subject may be acquired, and the measurement data may be stored in a memory. It should be noted that, the present application may obtain the measurement data of the physiological sign parameters from the memory, or directly obtain the measurement data from the acquisition module.
Therefore, the monitoring information method provided by the application can be applied to not only bedside equipment but also a central station. When the device is applied to bedside equipment, the measurement data of the physiological sign parameters are obtained through accessory equipment of various physiological sign parameters; when the system is applied to the central station, the central station acquires the measurement data of the physiological sign parameters from the bedside equipment through the network.
Step 1.2: acquiring data of at least one physiological sign parameter within a preset time length.
The monitoring needs to observe the real-time physiological state of the monitored object and also need to know the historical physiological state of the monitored object, and the monitoring needs and the historical physiological state are combined to provide richer diagnosis bases for medical staff, so that data in the preset time length of the physiological sign parameters of the monitored object need to be obtained.
It can be understood that the data in the preset time span of the physiological sign parameters contains a large amount, not all the data have a guiding meaning for the current diagnosis, and the time span can be preset according to the actual monitoring requirement to limit the time in which the data needs to be obtained. For convenience of description, the set time length may be referred to as a preset time length.
The form of the preset time length is not limited, and may be a continuous historical time period or a plurality of intermittent historical time points. That is, the data within the preset time period may be data measured continuously between any two time points.
The preset time length can be preset by the system or can be set by the user in an autonomous selection mode. In particular, an input window may be provided at the monitoring interface for the user to input the setting instruction. For example, a selection item of a preset time length may be provided in the form of a drop-down list, and a user may select a certain selection item. And in response to a setting instruction input by the user, setting the time length set by the user as a preset time length.
Step 1.3: and performing distribution statistics on the data within the preset time length based on at least one parameter value partition, and determining a distribution statistical result corresponding to the parameter value partition, wherein the parameter value partition represents the numerical interval of the physiological sign parameter.
For the convenience of observation, the data within the preset time length needs to be analyzed before being displayed. One way of analyzing and processing is to classify the data within a preset time period, that is, to preset a parameter value partition, and count the data within the preset time period according to the parameter value partition. It should be noted that the parameter value partition may be a time partition, a data value range partition within a preset time length, or a combination of the two, or other partition conditions.
If the parameter value partition is multiple, after the distribution statistics, each parameter value partition obtains a respective distribution statistical result. Of course, the parameter value partition may also be one, and only the data falling into the parameter value partition among all the data within the preset time length is counted. For example, only the statistical histogram of the target parameter value partition is displayed.
The number of data values within the predetermined time period may be more, and the content of the data values is different. The data in the preset time length are displayed in a segmented mode, and medical workers can know the change condition of the data in the preset time length by comparing the distribution statistical results of different parameter value partitions.
Step 1.4: providing a monitoring interface, and generating a measurement data display area and a distribution statistics special display area on the monitoring interface.
Step 1.5: and displaying the measurement data of at least one physiological sign parameter in a measurement data display area of the monitoring interface, and displaying a distribution statistical result in a distribution statistical special display area of the monitoring interface.
Wherein, the monitor of the monitoring device provides a monitoring interface. The monitoring interface may be the entire monitoring interface of the monitor device display, or may be a window embedded in or suspended from the entire monitoring interface of the monitor device display.
And displaying the obtained measurement data of the physiological sign parameters and the data within the preset time length in different areas of a monitoring interface, wherein the area displayed by the measurement data is called a measurement data display area, and the area displayed by the distribution statistical result of the data within the preset time length is called a distribution statistical special display area.
In one embodiment, the measurement data display area and the distribution statistics dedicated display area may be in a binding relationship, and simultaneously displayed in the monitoring interface and simultaneously disappeared from the monitoring interface. The binding relationship may be embodied in a display location relationship, for example, the measurement data display area and the distribution statistics specific display area may be located in close proximity in the monitoring interface.
It should be noted that the physiological parameters may be one or more. If the physiological parameters are multiple, the measurement data display area can be divided into a plurality of sub-areas for respectively displaying the measurement data of different types of physiological parameters, and the distribution statistics special display area can also be divided into a plurality of sub-areas for respectively displaying the distribution statistics results of different types of physiological parameters.
In addition, if the measured data of the physiological sign parameters and/or the data within the preset time span exceed the alarm threshold corresponding to the physiological sign parameters, when the distribution statistical result of the measured data and/or the data within the preset time span is displayed, the display style corresponding to the alarm can be used for displaying. Namely, the measurement data of the physiological sign parameters are monitored, and if the measurement data exceed the corresponding parameter threshold, the measurement data are displayed in a measurement data display area based on a preset alarm display mode. The alarm display mode can be any preset display mode different from a normal state.
Further, the distribution statistics displayed by the distribution statistics dedicated display area may be set by the user. Specifically, a selection operation control is provided in a distribution statistics special display area; and responding to a selection instruction input by the user through the selection operation control, and determining a distribution statistical result of the physiological sign parameters to be displayed in the distribution statistical special display area and a value of a preset time length. For example, selecting the operation control may provide options of multiple parameter value partitions, and the user may select a certain parameter value partition, and the distribution statistics dedicated display area displays only the distribution statistics corresponding to the selected parameter value partition. The selection operation control may also include a time input sub-control to allow the user to input a value of a preset time length. Furthermore, a parameter selection operation control of the physiological sign parameters can be provided, and the physiological sign parameters monitored by the control are determined in response to a selection instruction input by a user through the control.
The distribution statistical result of the data within the preset time length can be displayed in a text form or a distribution statistical chart form. For a specific display mode, reference may be made to the following detailed description, which is not repeated herein.
According to the technical scheme, the monitoring information display method can obtain the measurement data of the physiological sign parameters of the monitored object, also can obtain the data of the physiological sign parameters within the preset time length, carries out statistics on the data within the preset time length according to the parameter value partitions to obtain the distribution statistical result, and displays the measurement data and the distribution statistical result in different areas of the monitoring interface. From the monitoring interface, medical personnel both can look over the current situation of the physiological sign parameter of monitoring object, also can look over the distribution statistical conditions of physiological sign parameter, and the information in two respects can provide abundanter basis for medical personnel's judgement monitoring object's physiological state. And moreover, data in a preset time length are displayed in a classified mode according to different parameter values, and medical workers can conveniently judge the physiological sign parameter change condition of the monitored object through comparison.
The following describes several specific implementation forms of the monitoring interface, and the display modes of the measured data of the physiological sign parameters and the distribution statistical results are different in different monitoring interfaces.
In one implementation, after the distribution statistical result is obtained, a distribution statistical chart may be generated according to the parameter value partition and the distribution statistical result, and the distribution statistical chart may be displayed in a distribution statistical dedicated display area. The distribution statistical chart may comprise a statistical chart such as a pie chart, a histogram, etc., and may also comprise a statistical table.
One specific implementation of the distribution statistical chart includes a histogram, specifically, a histogram in which parameter value partitions and distribution statistical results are used as two coordinate axes. The histogram may also be referred to as a statistical histogram.
In this case, one form of the parameter value partition is a value interval of the physiological sign parameter, and the distribution statistical result is the number or the ratio of the number of data falling into the preset time length of each value interval in the data of the physiological sign parameter in the preset time length. Of course, the parameter value partition and distribution statistics may also be applied to other types of distribution statistics.
In this case, the data of the physiological parameters within the preset time span includes data obtained by continuous measurement or intermittent measurement between any two time points. For example, data measured continuously or intermittently between a current point in time and a historical point in time. Of course, the data within the preset time period can also be applied to other forms of segment statistics.
See fig. 2A, which shows one example of a monitoring interface. As shown in fig. 2A, the physiological parameter displayed by the monitoring interface is blood oxygen saturation (SpO 2). The monitoring interface comprises a measurement data display area 201 and a distribution statistics special display area 202, wherein the measurement data display area 201 displays 93% of the measurement data of the blood oxygen saturation, the distribution statistics special display area 202 displays a histogram of the blood oxygen saturation, and the histogram is obtained by carrying out sectional statistics on data within a preset time length of the blood oxygen saturation. As can be seen from the description of the histogram, the data within the preset time period is the data measured within 24 hours (h) before the current time point. It should be noted that the time length can be set by user selection, such as the downward triangle in fig. 2A, and the user clicks the downward triangle to select the time length provided by the downward triangle.
The abscissa of the histogram is four parameter intervals of the blood oxygen saturation, which are [ 0-80% ], [ 81% ] -90% ], [ 91% ] -95% ], and [ 96% ] -100% ], respectively. The ordinate of the histogram is in different blood oxygen saturation parameter intervals, the ratio of the blood oxygen saturation in the parameter interval to the total data amount in the preset time length, and by observing the histogram, the medical staff can know that the blood oxygen statistics (SpO2 statistical) of the monitoring object in the past 24 hours is: the amount of the blood oxygen saturation value is less than 80% of the total amount and is 5%, the amount of the blood oxygen saturation value is more than 81% and less than 90% of the total amount and is 15%, the amount of the blood oxygen saturation value is more than 91% and less than 95% of the total amount and is 70%, and the amount of the blood oxygen saturation value is more than 96% and less than 100% of the total amount and is 10%.
It should be noted that, in practical applications, the histogram is not limited to be generated only for the blood oxygen saturation, and may also be generated for other types of physiological parameters on the basis of the histogram including the blood oxygen saturation. Alternatively, the blood oxygen saturation is not included, but histograms are generated only for other types of physiological sign parameters.
In the monitoring interface shown in fig. 2A, the measurement data displayed in the measurement data display area 201 is not limited to the blood oxygen saturation level, and may be other types of physiological parameters. Or the measurement data display area is divided into a plurality of sub-areas, one sub-area displays the measurement data of the blood oxygen saturation, and the other sub-areas display other kinds of physiological parameters.
Another specific implementation manner of the distribution statistical chart includes a statistical table, specifically a statistical table with parameter value partitions as a header and statistical results as contents. The statistical table shows what the distribution statistical result is for each parameter value partition, as with the histogram described above, and differs from the histogram described above in that the parameter value partition and the distribution statistical result are not in a relationship of abscissa and ordinate, but the parameter value partition is used as a header, i.e., a column attribute, and the distribution statistical result is used as a record in the table.
Taking the histogram in fig. 2A as an example, each parameter interval may be used as a column attribute, a numerical value corresponding to each column attribute is a quantity ratio corresponding to the parameter interval, and each quantity ratio constitutes one record of the statistical table. It can be seen from this record how the distribution statistics are for different parameter value partitions.
As can be seen from the above examples, the display mode of the distribution statistical chart is more standard and simple, and is convenient for medical staff to check and understand.
It should be noted that the distribution statistical result may correspond to a plurality of parameter value partitions, and a certain parameter value partition(s) has a special meaning with respect to other parameter value partitions. The special significance can be specifically that guidance significance can be provided for medical care personnel to judge the physiological state of the monitored object. For ease of description, a parameter value partition having this special meaning may be referred to as a target parameter value partition. The target parameter value partition may be a parameter value partition corresponding to a normal condition, or may be a parameter value partition corresponding to an abnormal condition, or may also be a parameter value partition that is desired to be achieved after treatment is performed by a medical means (where a parameter value partition that is desired to be achieved after treatment may be referred to as a treatment target partition, and other parameter value partitions may be referred to as non-treatment target partitions). The target parameter value partition is specifically which parameter value partition or partitions, and may be preset by the system, or may be set by a user through selection.
In order to distinguish the target parameter value partitions, a display style different from that of other parameter value partitions may be used to display the target parameter value partitions and/or the distribution statistical results corresponding to the target parameter value partitions. Taking the oximeter shown in fig. 2A as an example, if the treatment target partition is [ 91% ] -95% ], the parameter interval is filled with a background color. Of course, the manner of display is not limited to color, and may be differentiated by adding an icon or the like.
Alternatively, in order to facilitate the medical staff to count the abnormal values or the normal values included in the results, the target conditions may be set in the parameter value partition in advance. And displaying the distribution statistical result corresponding to the target condition according to different display modes. Specifically, the target condition may indicate that the physiological sign parameter is in a normal or abnormal range, so as to remind the medical staff to monitor the normal or abnormal state of the subject. Of course, the target condition may also be a range period of desired attention that is customized by the healthcare worker.
Therefore, the monitoring information display method may further include: determining a target condition from at least one parameter value partition according to a setting information; and determining a display style different from other distribution statistical results for the distribution statistical results corresponding to the target conditions. Thus, when the distribution statistical result is displayed, the distribution statistical result can be displayed in the distribution statistical special display area of the monitoring interface based on the display mode.
Furthermore, in order to provide more information for medical staff to review, the monitoring information display method can also display a trend graph and/or a waveform graph corresponding to the physiological sign parameters on the basis of displaying the physiological sign parameter measurement data.
Specifically, a corresponding oscillogram and/or a trend graph is generated according to data within a preset time length of at least one physiological sign parameter; and displaying the oscillogram and/or the trend graph in the measurement data display area. For example, for blood oxygen measurement, a trace wave (waveform diagram) regarding blood oxygen may be displayed in the measurement data display area, or a blood oxygen saturation trend graph (graph plotted based on blood oxygen saturation values measured continuously over a period of time) may be displayed. Specifically, the measured data and the oscillogram/trend graph corresponding to the same physiological sign parameter can be displayed close together.
The different types of the representation graphs (waveform graphs and/or trend graphs) corresponding to the physiological parameters are different in form, and in order to display the representation graphs of the physiological parameters in the measurement data display area, the measurement data display area can be divided into a plurality of sub-areas, one part of which displays the measurement data of the physiological parameters, and the other part of which displays the representation graphs of the physiological parameters.
See fig. 2B, which shows yet another example of a monitoring interface. As shown in fig. 2B, the physiological parameters related to the monitoring interface include three parameters, namely blood oxygen saturation (SpO2), Pulse Rate (PR), and Perfusion Index (PI). The monitoring interface includes a measurement data display area 211 and a distribution statistics dedicated display area 212. The measurement data display area 211 includes measurement data of three physiological parameters, namely blood oxygen saturation SpO2, pulse rate PR and perfusion index PI, which are 93%, 120bpm and 0.5 respectively. It should be noted that, since the perfusion index 0.5 exceeds the alarm threshold, the measurement data is displayed according to an alarm pattern. As shown in fig. 2B, the alert pattern includes a numeric reverse color display, and the addition of a background color. Displayed in the distribution statistics dedicated display area 212 is a statistical histogram of the blood oxygen saturation.
The measurement data display area 211 further includes a plethysmographic wave (Pleth) related to the blood oxygen saturation level, in addition to the measurement data including the three physiological sign parameters. The measurement data display area can be divided into four sub-areas, three sub-areas are used for respectively displaying the measurement data of the three physiological sign parameters, and the other sub-area is used for displaying the plethysmographic wave (Pleth).
Alternatively, a plurality of representation graphs of the physiological parameters may be obtained, and the representation graphs of different physiological parameters may be respectively displayed in the sub-regions where the measurement data of the physiological parameters are located.
See fig. 2C, which shows yet another example of a monitoring interface. As shown in fig. 2C, the monitoring interface includes a measurement data display area 221 and a distribution statistics dedicated display area 222. Among them, 93% of the measurement data of the blood oxygen saturation, 120bpm of the measurement data of the pulse rate PR, and 0.5 of the measurement data of the perfusion index PI are displayed in the measurement data display region 221, and a statistical histogram of the blood oxygen saturation is displayed in the distribution statistics dedicated display region 222.
The measurement data display area 221 further includes a representation of three physiological parameters, based on the measurement data of the three physiological parameters including the blood oxygen saturation level SpO2, the pulse rate PR, and the perfusion index PI. Specifically, the presentation graph includes: plethysmographic (Pleth) and trend plots, trend plots of pulse rate PR, and trend plots of perfusion index PI.
The trend graph may include a normal parameter value range of the physiological sign parameter, and the range may be indicated by shading and numerical values. As shown in fig. 2C, according to the numerical scale, the range of the normal parameter value of the blood oxygen saturation level SpO2 includes 91% -95%, the range of the normal parameter value of the pulse rate PR includes 100bpm-200bpm, and the range of the normal parameter value of the perfusion index PI is more than 1.0.
It should be noted that other information, such as the distribution statistics dedicated display area 222 included in fig. 2C, can refer to the description in fig. 2A and fig. 2B, and is not repeated herein.
In yet another implementation, the trend graph may be displayed in a trend display area other than the measurement data display area and the distribution statistics dedicated display area. Specifically, a corresponding trend graph and/or trend table is generated according to data in a preset time length of at least one physiological sign parameter; and displaying a trend graph and/or a trend chart of at least one physiological sign parameter in a trend display area of the monitoring interface.
The monitoring interface can be divided into a measuring data display area and a distribution statistics special display area, and can also be divided into a trend display area, and the trend display area is used for displaying a trend graph. The trend graph is generated from data of the physiological sign parameters within a preset time length. It should be noted that, when the types of the physiological parameters include a plurality of trend graphs, the trend graphs are correspondingly a plurality, different physiological parameters correspond to different trend graphs, and the trend graphs may be arranged up and down, side by side, or in other manners. In addition, the trend graph/trend table can be refreshed, namely, the trend graph/trend table displayed in the trend display area is refreshed in response to a preset triggering condition. The triggering condition may be a time condition, that is, data within a preset time length after being refreshed is obtained every preset period of time, and a new trend graph is generated according to the data within the preset time length after being refreshed for display. The trigger condition may also be determination of measurement data update to the corresponding physiological sign parameter, for example, after determination of measurement data update to the corresponding physiological sign parameter, the trend graph/trend table displayed in the trend display area is synchronously refreshed. Of course, after the measured data of the corresponding physiological sign parameters are determined to be updated, the distribution statistical results displayed in the distribution statistical dedicated display area can also be refreshed synchronously.
See fig. 2D, which shows another example of a monitoring interface. As shown in fig. 2D, the physiological parameters displayed on the monitoring interface include blood oxygen saturation SpO2, pulse rate PR and perfusion index PI. Specifically, the monitoring interface includes a measurement data display area 231, a distribution statistics dedicated display area 232, and a trend display area 233. Among them, 93% of the measurement data of the blood oxygen saturation, 120bpm of the measurement data of the pulse rate PR, and 0.5 of the measurement data of the perfusion index PI are displayed in the measurement data display region 221, and a statistical histogram of the blood oxygen saturation is displayed in the distribution statistics dedicated display region 232.
The trend display area 233 includes, from top to bottom, trend graphs of three physiological parameters, namely, blood oxygen saturation SpO2, pulse rate PR and perfusion index PI. Of course, the arrangement of the three trend graphs is not limited to this, and the three trend graphs may be arranged in any order from top to bottom, or in other arrangement directions.
In addition, the three trend graphs are respectively generated by data of the three physiological sign parameters within a preset time length, and as can be seen from-2 h (hour) and-1 h (hour) in the graph, the data within the preset time length is measured within 2 hours before the current time point 0.
It should be noted that other area information included in fig. 2D may refer to the descriptions in fig. 2A to 2C, and is not described herein again.
About the trend table.
The header of the trend table contains parameter value partitions and the records in the table indicate what the distribution statistics are under one of the parameter value partitions.
See fig. 2E, which shows another example of a monitoring interface. As shown in fig. 2E, the physiological parameters displayed on the monitoring interface include blood oxygen saturation SpO2, pulse rate PR and perfusion index PI. The monitoring interface includes a measurement data display area 241, a distribution statistics dedicated display area 242, and a trend display area 243. Among them, 93% of the measurement data of the blood oxygen saturation, 120bpm of the measurement data of the pulse rate PR, and 0.5 of the measurement data of the perfusion index PI are displayed in the measurement data display region 241, and a statistical histogram of the blood oxygen saturation is displayed in the distribution statistics dedicated display region 242.
The trend display area 243 displays a trend chart of the blood oxygen saturation level SpO2, the pulse rate PR and the perfusion index PI, wherein the trend chart represents parameter values of the blood oxygen saturation level SpO2, the pulse rate PR and the perfusion index PI at a plurality of different historical time points. Wherein, the Time points (Time) are respectively 6:30, 7:00, 7:30, 8:00, 8:30, 9:00 and 9:30, and the Time length of the plurality of historical Time points is fixed and is 30 minutes. Of course, the time interval may have other values, and is not limited thereto. It should be noted that the time points in fig. 2E are sequentially time points that are farther and farther from the current time point from top to bottom. Of course, the ordering of the time points may be reversed, i.e. from top to bottom, the time points closer and closer to the current time point.
Of course, the historical time points may also be other forms of time points of the past time period. The historical time points may have time point selection criteria, such as the time points shown in fig. 2E above, which are the whole hour and the time point of 30 minutes. The expiration time point of the historical time point may be a time point that meets the selection criterion and is closest to the current time point. For example, the current time point is 9:40, and the last time point obtained in fig. 2E is 9: 30.
In the execution process of the method, the defined preset time length can be changed along with the change of time, so that the obtained data in the preset time length are changed, the displayed distribution statistical result can be refreshed, and the refreshing interval time can be set by a user. Taking fig. 2E as an example, assuming that the current time point is changed from 9:40 to 10:01, the data of the blood oxygen saturation level SpO2, the pulse rate PR and the perfusion index PI within the preset time length of 10:00 can be obtained and displayed at the position of the first row. Accordingly, the blood oxygen saturation SpO2, the pulse rate PR, and the perfusion index PI at the time point of the last line of 6:30 may be omitted from the display, or displayed in another screen, or continuously displayed.
The number of records displayed in the trend table may be a fixed value set in advance, or may be set to a numerical value indicated by an instruction according to a setting instruction of a user. If a plurality of statistical records cannot be displayed simultaneously, multi-screen display is available, and a user can view other statistical records contained in other screens through touch operation.
It should be noted that the trend graph and the trend table are two different trend graphs, and which kind of trend is fixedly displayed in the trend display area may be set in advance. Or the trend chart and the trend table can be switched with each other, and the triggering instruction of switching can be implemented by a user. Specifically, the trend chart or the trend table displayed in the trend display area is switched to the other one in response to an instruction input by the user.
In one example, a key, such as a physical key or a virtual key displayed on a display screen, may be provided on the monitoring device, and the user selects whether to display the trend graph or the trend chart by activating the key.
In another example, in the case that the display screen of the monitoring device has a touch function, the manner of inputting the instruction may be to perform a sliding operation on the display screen, such as sliding left or right, and further such as sliding up or down. In order to facilitate the user to input an accurate sliding switching instruction, a prompt icon may be further included in the trend display area to prompt the user to which direction to slide so as to trigger the display of another trend graphic.
As shown in fig. 2F, the display screen of the monitoring device includes a monitoring interface, a trend table is currently displayed in a trend display area of the monitoring interface, two circular icons are included below the trend table, the left circular icon is darker in color, and the right circular icon is lighter in color to indicate that the left trend graph is currently displayed, and if it is desired to trigger the display of another trend graph, the monitoring interface needs to slide to the right. Based on the prompt, the user triggers the operation of sliding to the right on the display screen, and the content displayed in the trend display area can be switched to the trend chart from the trend chart. At the same time, the circular icons become lighter in color for the left circular icon and darker in color for the right circular icon. Of course, the switching may be performed in the opposite direction to switch the trend chart to the trend table.
Assuming that the trend chart and the trend chart are the patterns in fig. 2D and fig. 2E, respectively, the entire monitoring interface may be switched from the pattern in fig. 2E to the pattern in fig. 2D based on the above operation of switching the trend chart to the trend chart.
It should be noted that, the switching operation mode not only can facilitate the medical staff to view the trend illustrations in different forms, but also can save the area occupied by the trend display area in the monitoring interface.
In the case that the monitoring interface comprises a trend table or a trend chart, abnormal conditions in the trend table or the trend chart can be prompted. Specifically, monitoring parameter values of physiological sign parameters in the trend table, and if the parameter values exceed corresponding parameter threshold values, displaying the parameter values based on a preset display style; or monitoring parameter values of the physiological sign parameters in the trend table, and if alarm information related to the parameter values is monitored, displaying the parameter values based on a preset display style; or, the trend table is displayed by adopting a display style capable of distinguishing normal and abnormal parameter values of the physiological sign parameters in the trend table.
The alarm information may be an alarm condition defined according to the physiological abnormal state, and if the parameter value of the physiological sign parameter triggers the alarm information, the parameter value needs to be prompted. For example, the alarm information related to the blood oxygen saturation may include the hypo-saturation, which needs to be prompted if a certain parameter value of the blood oxygen saturation triggers the hypo-saturation alarm. For another example, the alarm information related to the pulse rate may include bradycardia, extreme bradycardia, or tachycardia, and the pulse rate may be prompted if a parameter value of the pulse rate triggers any of the above alarm information.
Taking fig. 2E as an example, if the physiological sign parameter in a certain record in the trend table exceeds the corresponding parameter threshold, or the associated alarm information is triggered, the display font color of the record may be set to be different from the font colors of other records, or a background color is added to the record. Likewise, the curves corresponding to the normal physiological sign parameter and the abnormal parameter value in the trend chart can be distinguished by using different colors. Of course, the distinguishing display style is not limited to colors, and may be distinguished by various forms such as adding a background pattern, adding an icon symbol, and the like.
It should be noted that the above various forms of drawings may be displayed in any combination. For example, fig. 2A, 2B, or 2C may incorporate a trend chart or graph. See fig. 2G, which shows yet another example of a monitoring interface. As shown in fig. 2G, the monitoring interface includes a measurement data display area 251, a distribution statistics dedicated display area 252, and a trend display area 253. The measurement data display region 251 includes measurement data of three physiological parameters, namely, blood oxygen saturation SpO2, pulse rate PR and perfusion index PI, specifically, the measurement data of the blood oxygen saturation SpO2 is 93%, the measurement data of the pulse rate PR is 120bpm (beat per minute), and the measurement data of the perfusion index PI is 0.5. Displayed in the distribution statistics dedicated display area 252 is a statistical histogram of the blood oxygen saturation. Displayed in the trend display area 253 are trend charts of the blood oxygen saturation SpO2, the pulse rate PR, and the perfusion index PI.
It should be noted that other information included in fig. 2G may refer to the above illustration, and is not described herein again. In addition, in the drawings related to the monitoring interface, the measurement data display area where the measurement data is located further includes a status indicator, and the status indicator includes a plurality of parameter value partitions and an indication mark, and the indication mark is used for indicating the parameter value partition to which the measurement data belongs.
The following describes embodiments of devices related to the monitored information display method, and for descriptions of the devices, reference may be made to the above-mentioned embodiments of the methods, which are not described in detail below.
The embodiment of the application also provides another monitoring information display method. It should be noted that a part of specific implementation schemes of the monitoring information display method are the same as or similar to those of the monitoring information display method provided in the foregoing embodiment, and only the monitoring information display method is briefly described below. It should be understood that a person skilled in the art may apply the relevant technical solution thereto on the basis of the above description.
The monitoring information display method comprises the following steps:
acquiring data of at least one physiological sign parameter of a monitored subject within a preset time length, wherein the data of the at least one physiological sign parameter of the monitored subject within the preset time length is acquired from the monitored subject through at least one physiological sign sensor;
performing distribution statistics on the data within the preset time length based on at least one parameter value partition, and determining a distribution statistical result corresponding to the parameter value partition; the parameter value partition represents a numerical interval of the physiological sign parameter; the numerical value area is determined based on one or more of an alarm threshold value, a baseline range and a treatment target range corresponding to the physiological sign parameters;
providing a monitoring interface, and generating a distribution statistics special display area on the monitoring interface;
and displaying the distribution statistical result in a distribution statistical special display area of the monitoring interface.
In one embodiment, the alarm threshold may be a range of values corresponding to a critical alarm, a medium alarm, etc. level, respectively; the baseline range may refer to the normal numerical range of the physiological parameters of the currently monitored subject; the treatment target range may refer to a numerical range that a medical worker wants to treat a monitored subject so that the physiological parameters of the monitored subject reach after treatment.
In this embodiment, the distribution statistical result is not simply interval division of the physiological sign data of the monitored object, but a numerical interval is determined based on the alarm threshold, the baseline range and the treatment target range, and the data within the preset time period is subjected to distribution statistics, so that the obtained distribution statistical result can enable medical staff to visually know the distribution condition of the physiological sign parameter data of the monitored object within the alarm threshold, the baseline range and the treatment target range within a period of time, so as to conveniently know the physiological state of the monitored object. Simple interval division, relatively disordered data, and medical staff can not intuitively know the physiological state of the monitored object related to the distribution results even if seeing the distribution results, and the monitoring information display method provided by the embodiment well solves the problem.
In an embodiment, the monitoring information display method further includes:
obtaining measurement data of at least one physiological sign parameter of the monitored subject;
generating a measurement data display area on the monitoring interface;
and displaying the measurement data of the at least one physiological sign parameter in a measurement data display area of the monitoring interface.
In an embodiment, the monitoring information display method further includes: and generating a distribution statistical chart according to the parameter value partition and the distribution statistical result, and displaying the distribution statistical chart in the distribution statistical special display area.
In an embodiment, the distribution statistical chart is a histogram with the parameter value partition and the statistical result as two coordinate axes respectively; or, the distribution statistical chart is a statistical table which takes the parameter value partition as a header and takes the statistical result as content.
In an embodiment, the data within the preset time period includes: data obtained by continuous measurement or discontinuous measurement between any two time points.
In one embodiment, the distribution statistics are: and the number or the number ratio of the physiological sign parameters in the data within the preset time length respectively falls into the value intervals corresponding to the parameter value partitions.
In an embodiment, the monitoring information display method further includes:
determining a target condition from the at least one parameter value partition according to the setting information;
determining a display style different from other statistical results for the statistical result corresponding to the target condition;
and displaying the distribution statistical result in a distribution statistical special display area of the monitoring interface based on the display style.
In an embodiment, the monitoring information display method further includes:
generating a corresponding oscillogram and/or a trend graph according to the data of the at least one physiological sign parameter within a preset time length;
and displaying the oscillogram and/or the trend graph in the measurement data display area.
In an embodiment, the monitoring information display method further includes:
generating a corresponding trend graph and/or a trend table according to the data of the at least one physiological sign parameter within a preset time length;
and generating a trend display area on the monitoring interface, and displaying a trend graph and/or a trend table of the at least one physiological sign parameter in the trend display area.
In an embodiment, the monitoring information display method further includes: and switching the trend chart or the trend table displayed in the trend display area to another trend chart or trend table in response to an instruction input by a user.
In an embodiment, the monitoring information display method further includes:
refreshing a trend graph and/or a trend table displayed in the third area in response to a preset trigger condition; alternatively, the first and second electrodes may be,
and after the measured data of the physiological sign parameters are determined to be updated, synchronously refreshing the distribution statistical result, and/or synchronously refreshing the trend graph and/or the trend table.
In an embodiment, the monitoring information display method further includes:
providing a selection operation control in the distribution statistics special display area;
and responding to a selection instruction input by a user through the selection operation control, and determining a statistical result of the physiological sign parameters to be displayed in the distribution statistics special display area and a value of the preset time length.
Referring to fig. 3, a schematic diagram of a monitored information display device provided by the present application is shown. As shown in fig. 3, the monitored information display device may specifically include: a measurement data obtaining module 301, a data obtaining module 302, a statistical result obtaining module 303, and a display module 304.
A measurement data obtaining module 301, configured to obtain measurement data of at least one physiological sign parameter of a monitored subject, where the measurement data of the physiological sign parameter is obtained from the monitored subject through at least one physiological sign sensor;
a data obtaining module 302, configured to obtain data of the at least one physiological sign parameter within a preset time period;
a statistical result obtaining module 303, configured to perform distribution statistics on the data within the preset time length based on at least one parameter value partition, and determine a distribution statistical result corresponding to the parameter value partition; the parameter value partition represents a numerical interval of the physiological sign parameter;
the display module 304 provides a monitoring interface, displays the measurement data of the at least one physiological sign parameter in a measurement data display area of the monitoring interface, and displays the distribution statistical result in a distribution statistical dedicated display area of the monitoring interface.
In an embodiment, the display module 304 generates a distribution statistic chart according to the parameter value partition and the distribution statistic result, and displays the distribution statistic chart in the distribution statistic dedicated display area.
In an embodiment, the distribution statistical chart is a histogram with the parameter value partition and the statistical result as two coordinate axes respectively; or, the distribution statistical chart is a statistical table which takes the parameter value partition as a header and takes the statistical result as content.
In an embodiment, the data in the preset time period includes data obtained by continuous measurement or discontinuous measurement between any two time points.
In one embodiment, the distribution statistics are: and the number or the number ratio of the physiological sign parameters in the data within the preset time length respectively falls into the value intervals corresponding to the parameter value partitions.
In one embodiment, the parameter value partition includes a treatment target partition, and the treatment target partition corresponds to a numerical interval of a treatment target value of the physiological sign parameter.
In one embodiment, the display module 304 performs output display on the non-treatment target partition using a first display style and performs output display on the treatment target partition using a second display style different from the first display style.
In one embodiment, the display module 304 determines a target condition from the at least one parameter value partition based on the setting information; determining a display style different from other statistical results for the statistical result corresponding to the target condition; and displaying the distribution statistical result in a distribution statistical special display area of the monitoring interface based on the display style.
In an embodiment, the display module 304 generates a corresponding waveform graph and/or trend graph according to the data of the at least one physiological sign parameter within a preset time length; and displaying the oscillogram and/or the trend graph in the measurement data display area.
In an embodiment, the display module 304 generates a corresponding trend graph and/or trend table according to the data of the at least one physiological sign parameter within a preset time period; and displaying a trend graph and/or a trend table of the at least one physiological sign parameter in a trend display area of the monitoring interface.
In one embodiment, the display module 304 switches the trend graph or the trend table displayed in the trend display area to another one in response to an instruction input by the user.
In an embodiment, the display module 304 refreshes the trend graph and/or the trend table displayed in the trend display area in response to a preset trigger condition, or refreshes the distribution statistics and/or the trend graph and/or the trend table synchronously after determining that the measured data of the physiological sign parameter is updated. .
In an embodiment, the display module 304 monitors the parameter values of the physiological parameters in the trend table, and displays the parameter values based on a preset display style if the parameter values exceed the corresponding parameter threshold values; or monitoring parameter values of the physiological sign parameters in the trend table, and if alarm information associated with the parameter values is monitored, displaying the parameter values based on a preset display style; or displaying the trend graph by adopting a display mode capable of distinguishing normal and abnormal parameter values of the physiological sign parameters in the trend graph.
In an embodiment, the display module 304 monitors the measurement data of the physiological sign parameter, and displays the measurement data in the measurement data display area based on a preset display pattern if the measurement data exceeds the corresponding parameter threshold.
In one embodiment, the monitored information display device further comprises: and a time length setting module. The time length setting module is used for providing a selection operation control in the distribution statistics special display area; and responding to a selection instruction input by a user through the selection operation control, and determining a statistical result of the physiological sign parameters to be displayed in the distribution statistics special display area and a value of the preset time length.
The present application further provides a monitoring device, comprising:
a display configured to display information;
and the processor executes the program instructions to realize the steps of the information monitoring method in the embodiment.
The monitoring device mentioned in the present application is not limited to a monitor, but may also be a device with a monitoring function, such as an invasive/noninvasive ventilator, an anesthesia machine, a defibrillator, a nurse station, a central station, or the like, or a computer terminal or a mobile terminal that is installed and operated with clinical data monitoring and analyzing software to implement the method provided in the above embodiments. . The following embodiments are mainly described by taking a monitor as an example.
One specific example of a monitor is shown in fig. 4. FIG. 4 provides a system diagram of a parameter processing module in a multi-parameter monitor.
The multi-parameter monitor has an independent housing, a sensor interface area is provided on a panel of the housing, in which a plurality of sensor interfaces are integrated, for connecting with each external physiological sign parameter sensor attachment 411, and a small-sized IXD display area, a display 418, an input interface circuit 420, an alarm circuit 419 (such as an LED alarm area), and the like are further included on the panel of the housing. The parameter processing module is used for communicating with the host and getting electricity from the host, and is used for an external communication and power interface. The parameter processing module also supports an external parameter insertion module, a plug-in monitor host can be formed by inserting the parameter insertion module and is used as a part of the monitor, the plug-in monitor host can also be connected with the host through a cable, and the external parameter insertion module is used as an external accessory of the monitor. In addition, the multi-parameter monitor includes a memory 417 for storing various data generated during the computer program and associated monitoring process.
The internal circuit of the parameter processing module is disposed in the housing, as shown in fig. 4, and includes at least two signal acquisition circuits 412 corresponding to the physiological parameters, a front-end signal processing circuit 413, and a main processor 415.
The main processor 415 may implement the various processing-related steps of the various monitored information display methods described above.
The signal acquisition circuit 412 can be selected from an electrocardiograph circuit, a respiration circuit, a body temperature circuit, a blood oxygen circuit, a non-invasive blood pressure circuit, an invasive blood pressure circuit, etc., and these signal acquisition circuits 412 are respectively electrically connected with corresponding sensor interfaces for electrically connecting to the sensor accessories 411 corresponding to different physiological sign parameters, the output end of the signal acquisition circuit is coupled to the front end signal processor, the communication port of the front end signal processor is coupled to the main processor, and the main processor is electrically connected with an external communication and power interface.
The various physiological sign parameter measuring circuits can adopt a common circuit in the prior art, a front-end signal processor completes sampling and analog-to-digital conversion of an output signal of a signal acquisition circuit, and outputs a control signal to control a measuring process of a physiological signal, and the parameters include but are not limited to: electrocardio, respiration, body temperature, blood oxygen, noninvasive blood pressure and invasive blood pressure parameters.
The front-end signal processor can be realized by a single chip microcomputer or other semiconductor devices, and can also be realized by an ASIC (application specific integrated circuit) or an FPGA (field programmable gate array). The front-end signal processor may be powered by an isolated power supply, and the sampled data may be sent to the main processor through an isolated communication interface after being simply processed and packaged, for example, the front-end signal processor circuit may be coupled to the main processor 415 through the isolated power supply and communication interface 414.
The reason that the front-end signal processor is supplied with power by the isolation power supply is that the DC/DC power supply is isolated by the transformer, which plays a role in isolating the patient from the power supply equipment, and mainly aims at: 1. isolating the patient, and floating the application part through an isolation transformer to ensure that the leakage current of the patient is small enough; 2. the voltage or energy when defibrillation or electrotome is applied is prevented from influencing board cards and devices of intermediate circuits such as a main control board and the like (guaranteed by creepage distance and electric clearance).
The main processor completes the calculation of the physiological sign parameters, and sends the calculation results and waveforms of the parameters to a host (such as a host with a display, a PC, a central station, etc.) through an external communication and power interface 416, which may be one or a combination of an Ethernet (Ethernet), a Token Ring (Token Ring), a Token Bus (Token Bus), and a local area network interface composed of a backbone Fiber Distributed Data Interface (FDDI) as these three networks, one or a combination of wireless interfaces such as infrared, bluetooth, wifi, WMTS communication, etc., or one or a combination of wired data connection interfaces such as RS232, USB, etc.
The external communication and power interface 416 may also be one or a combination of a wireless data transmission interface and a wired data transmission interface. The host can be any computer equipment of a host computer of a monitor, an electrocardiograph, an ultrasonic diagnostic apparatus, a computer and the like, and matched software is installed to form the monitor equipment. The host can also be communication equipment such as a mobile phone, and the parameter processing module sends data to the mobile phone supporting Bluetooth communication through the Bluetooth interface to realize remote transmission of the data.
In addition, the present application provides a readable storage medium on which a computer program is stored, the computer program, when executed by a processor, implementing the various monitoring information display methods described above.
Reference is made herein to various exemplary embodiments. However, those skilled in the art will recognize that changes and modifications may be made to the exemplary embodiments without departing from the scope hereof. For example, the various operational steps, as well as the components used to perform the operational steps, may be implemented in differing ways depending upon the particular application or consideration of any number of cost functions associated with operation of the system (e.g., one or more steps may be deleted, modified or incorporated into other steps).
The terms "first," "second," and the like in the description and claims herein and in the above-described drawings are used for distinguishing between different objects and not necessarily for describing a particular sequential order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, or apparatus.
Additionally, as will be appreciated by one skilled in the art, the principles herein may be reflected in a computer program product on a computer readable storage medium, which is pre-loaded with computer readable program code. Any tangible, non-transitory computer-readable storage medium may be used, including magnetic storage devices (hard disks, floppy disks, etc.), optical storage devices (CD-ROMs, DVDs, Blu Ray disks, etc.), flash memory, and/or the like. These computer program instructions may be loaded onto a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions which execute on the computer or other programmable data processing apparatus create means for implementing the functions specified. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including means for implementing the function specified. The computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified.
The foregoing detailed description has been described with reference to various embodiments. However, one skilled in the art will recognize that various modifications and changes may be made without departing from the scope of the present disclosure. Accordingly, the disclosure is to be considered in an illustrative and not a restrictive sense, and all such modifications are intended to be included within the scope thereof. Also, advantages, other advantages, and solutions to problems have been described above with regard to various embodiments. However, the benefits, advantages, solutions to problems, and any element(s) that may cause any element(s) to occur or become more pronounced are not to be construed as a critical, required, or essential feature or element of any or all the claims. As used herein, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, system, article, or apparatus. Furthermore, the term "coupled," and any other variation thereof, as used herein, refers to a physical connection, an electrical connection, a magnetic connection, an optical connection, a communicative connection, a functional connection, and/or any other connection.
The above examples only show some embodiments, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (32)
- A monitoring information display method is characterized by comprising the following steps:obtaining measurement data of at least one physiological sign parameter of a monitored subject, wherein the measurement data of the physiological sign parameter is obtained from the monitored subject through at least one physiological sign sensor;acquiring data of the at least one physiological sign parameter within a preset time length;performing distribution statistics on the data within the preset time length based on at least one parameter value partition, and determining a distribution statistical result corresponding to the parameter value partition; the parameter value partition represents a numerical interval of the physiological sign parameter;providing a monitoring interface, and generating a measurement data display area and a distribution statistics special display area on the monitoring interface;and displaying the measurement data of the at least one physiological sign parameter in a measurement data display area of the monitoring interface, and displaying the distribution statistical result in a distribution statistical special display area of the monitoring interface.
- The method of claim 1, further comprising:and generating a distribution statistical chart according to the parameter value partition and the distribution statistical result, and displaying the distribution statistical chart in the distribution statistical special display area.
- The method of claim 2, wherein:the distribution statistical chart is a histogram which takes the parameter value partition and the statistical result as two coordinate axes respectively; or the like, or, alternatively,the distribution statistical chart is a statistical table which takes the parameter value partitions as a header and takes the statistical result as content.
- The method of claim 1, wherein:the data in the preset time span comprises: data obtained by continuous measurement or discontinuous measurement between any two time points.
- The method of claim 1, wherein: the distribution statistical result is as follows: and the number or the number ratio of the physiological sign parameters in the data within the preset time length respectively falls into the value intervals corresponding to the parameter value partitions.
- The method of claim 1, wherein: the parameter value partitions comprise treatment target partitions, and the treatment target partitions correspond to numerical intervals of treatment target values of the physiological sign parameters.
- The method of claim 6, further comprising: and outputting and displaying the non-treatment target subarea by adopting a first display mode, and outputting and displaying the treatment target subarea by adopting a second display mode different from the first display mode.
- The method of claim 1, further comprising:determining a target condition from the at least one parameter value partition according to the setting information;determining a display style different from other statistical results for the statistical result corresponding to the target condition;and displaying the distribution statistical result in a distribution statistical special display area of the monitoring interface based on the display style.
- The method of claim 1, further comprising:generating a corresponding oscillogram and/or a trend graph according to the data of the at least one physiological sign parameter within a preset time length;and displaying the oscillogram and/or the trend graph in the measurement data display area.
- The method of claim 1, further comprising:generating a corresponding trend graph and/or a trend table according to the data of the at least one physiological sign parameter within a preset time length;and generating a trend display area on the monitoring interface, and displaying a trend graph and/or a trend table of the at least one physiological sign parameter in the trend display area.
- The method of claim 10, further comprising: and switching the trend chart or the trend table displayed in the trend display area to another trend chart or trend table in response to an instruction input by a user.
- The method of claim 10, further comprising:refreshing a trend graph and/or a trend table displayed in the third area in response to a preset trigger condition; alternatively, the first and second electrodes may be,and after the measured data of the physiological sign parameters are determined to be updated, synchronously refreshing the distribution statistical result, and/or synchronously refreshing the trend graph and/or the trend table.
- The method of claim 10, further comprising:monitoring parameter values of the physiological sign parameters in the trend table, and if the parameter values exceed corresponding parameter threshold values, displaying the parameter values based on a preset display style; alternatively, the first and second electrodes may be,monitoring parameter values of physiological sign parameters in the trend table, and if alarm information related to the parameter values is monitored, displaying the parameter values based on a preset display style; alternatively, the first and second electrodes may be,and displaying the trend graph by adopting a display mode capable of distinguishing normal and abnormal parameter values of the physiological sign parameters in the trend graph.
- The method of claim 1, further comprising: monitoring the measurement data of the physiological sign parameters, and if the measurement data exceeds the corresponding parameter threshold, displaying the measurement data in the measurement data display area based on a preset display style.
- The method of claim 1, further comprising:providing a selection operation control in the distribution statistics special display area;and responding to a selection instruction input by a user through the selection operation control, and determining a statistical result of the physiological sign parameters to be displayed in the distribution statistics special display area and a value of the preset time length.
- A monitored information display device, comprising:the system comprises a measurement data acquisition module, a data processing module and a data processing module, wherein the measurement data acquisition module is used for acquiring measurement data of at least one physiological sign parameter of a monitored subject, and the measurement data of the physiological sign parameter is acquired from the monitored subject through at least one physiological sign sensor;the data acquisition module is used for acquiring data of the at least one physiological sign parameter within a preset time length;a statistical result obtaining module, configured to perform distribution statistics on the data within the preset time length based on at least one parameter value partition, and determine a distribution statistical result corresponding to the parameter value partition; the parameter value partition represents a numerical interval of the physiological sign parameter;and the display module is used for providing a monitoring interface, displaying the measurement data of the at least one physiological sign parameter in a measurement data display area of the monitoring interface, and displaying the distribution statistical result in a distribution statistical special display area of the monitoring interface.
- A monitoring device, comprising:a display configured to display information;a processor executing program instructions to carry out the steps of the monitored information display method according to any one of claims 1 to 15.
- A readable storage medium, on which a computer program is stored, wherein the computer program, when loaded and executed by a processor, implements the monitored information display method according to any one of claims 1 to 15.
- A monitoring information display method is characterized by comprising the following steps:acquiring data of at least one physiological sign parameter of a monitored subject within a preset time length, wherein the data of the at least one physiological sign parameter of the monitored subject within the preset time length is acquired from the monitored subject through at least one physiological sign sensor;performing distribution statistics on the data within the preset time length based on at least one parameter value partition, and determining a distribution statistical result corresponding to the parameter value partition; the parameter value partition represents a numerical value interval of the physiological physical sign parameter; the numerical value area is determined based on one or more of an alarm threshold value, a baseline range and a treatment target range corresponding to the physiological sign parameters;providing a monitoring interface, and generating a distribution statistics special display area on the monitoring interface;and displaying the distribution statistical result in a distribution statistical special display area of the monitoring interface.
- The method of claim 19, further comprising:obtaining measurement data of at least one physiological sign parameter of the monitored subject;generating a measurement data display area on the monitoring interface;and displaying the measurement data of the at least one physiological sign parameter in a measurement data display area of the monitoring interface.
- The method of claim 19, wherein a distribution statistics graph is generated based on the parameter value partitions and the distribution statistics, and the distribution statistics graph is displayed in the distribution statistics dedicated display area.
- The method of claim 19, wherein:the distribution statistical chart is a histogram which takes the parameter value partition and the statistical result as two coordinate axes respectively; or the like, or, alternatively,the distribution statistical chart is a statistical table which takes the parameter value partitions as a header and takes the statistical result as content.
- The method of claim 19, wherein:the data in the preset time span comprises: data obtained by continuous measurement or discontinuous measurement between any two time points.
- The method of claim 19, wherein: the distribution statistical result is as follows: and the number or the number ratio of the physiological sign parameters in the data within the preset time length respectively falls into the value intervals corresponding to the parameter value partitions.
- The method of claim 19, further comprising:determining a target condition from the at least one parameter value partition according to the setting information;determining a display style different from other statistical results for the statistical result corresponding to the target condition;and displaying the distribution statistical result in a distribution statistical special display area of the monitoring interface based on the display style.
- The method of claim 20, further comprising:generating a corresponding oscillogram and/or a trend graph according to the data of the at least one physiological sign parameter within a preset time length;and displaying the oscillogram and/or the trend graph in the measurement data display area.
- The method of claim 19, further comprising:generating a corresponding trend graph and/or a trend table according to the data of the at least one physiological sign parameter within a preset time length;and generating a trend display area on the monitoring interface, and displaying a trend graph and/or a trend table of the at least one physiological sign parameter in the trend display area.
- The method of claim 27, further comprising: and switching the trend chart or the trend table displayed in the trend display area to another trend chart or trend table in response to an instruction input by a user.
- The method of claim 27, further comprising:refreshing a trend graph and/or a trend table displayed in the third area in response to a preset trigger condition; alternatively, the first and second electrodes may be,and after the measured data of the physiological sign parameters are determined to be updated, synchronously refreshing the distribution statistical result, and/or synchronously refreshing the trend graph and/or the trend table.
- The method of claim 19, further comprising:providing a selection operation control in the distribution statistics special display area;and responding to a selection instruction input by a user through the selection operation control, and determining a statistical result of the physiological sign parameters to be displayed in the distribution statistics special display area and a value of the preset time length.
- A monitoring device, comprising:a display configured to display information;a processor executing program instructions to perform the steps of the monitored information display method of any of claims 19-30.
- A readable storage medium, on which a computer program is stored, wherein the computer program, when loaded and executed by a processor, implements the monitored information display method according to any one of claims 19-30.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2018/102779 WO2020041984A1 (en) | 2018-08-28 | 2018-08-28 | Monitoring device, and monitoring information display method and apparatus |
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| CN112351734A true CN112351734A (en) | 2021-02-09 |
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| CN201880094432.XA Pending CN112351734A (en) | 2018-08-28 | 2018-08-28 | Monitoring equipment, monitoring information display method and device |
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| CN (1) | CN112351734A (en) |
| WO (1) | WO2020041984A1 (en) |
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