CN114652303B - Intelligent monitoring system - Google Patents

Intelligent monitoring system Download PDF

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CN114652303B
CN114652303B CN202210573005.8A CN202210573005A CN114652303B CN 114652303 B CN114652303 B CN 114652303B CN 202210573005 A CN202210573005 A CN 202210573005A CN 114652303 B CN114652303 B CN 114652303B
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posture
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CN114652303A (en
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徐樱
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Third Hospital Of Changsha
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1116—Determining posture transitions
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
    • A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/021—Measuring pressure in heart or blood vessels
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024—Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02438—Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/683—Means for maintaining contact with the body
    • A61B5/6832—Means for maintaining contact with the body using adhesives
    • A61B5/6833—Adhesive patches

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Abstract

The invention belongs to the technical field of monitoring equipment, and relates to an intelligent monitoring system which comprises a server, a detection module, a connection module and a posture acquisition module, wherein the server is respectively connected with the detection module, the connection module and the posture acquisition module; the detection module is used for detecting physiological data of a patient to acquire the physiological data of each posture of the patient; the connecting module is used for establishing a connecting transmission channel between the detection module and the posture acquisition module so as to realize transmission of physiological data of the patient; the posture acquisition module is used for detecting the posture of the patient. According to the invention, the posture acquisition module is matched with the connection module and the detection module, so that the detection precision is more accurate, and the device has the advantages of simplicity and convenience in operation, easiness in carrying and the like.

Description

Intelligent monitoring system
Technical Field
The invention relates to the technical field of monitoring equipment, in particular to an intelligent monitoring system.
Background
The control system is a management system with self-goal and function, which is composed of a control subject, a control object and a control medium, the control system generally comprises a monitoring or adjusting device, of course, the monitoring device is used for obtaining various signals of the control object and is the most important component of the control system, and the monitoring device can also be independently used as a monitoring system and is arranged near the object.
A typical application of an intelligent monitoring system is used for medical monitoring, for example, CN109223373B discloses a multifunctional monitoring and nursing device for cardiology department in the prior art, in clinic, a cardiology department patient is easy to have arrhythmia, sudden death and the like due to the phenomenon that the heart can not be effectively transfused with blood and indirect and inordinate blood transfusion, and the patient needs to be continuously detected and treated in the process of recovering, treating and nursing the cardiovascular patient. Meanwhile, the related monitoring and nursing device for the department of cardiology is complex to use, large in occupied space, single in function, slow in self-rescue response of the patient using the device and the like, and brings much inconvenience to the work of medical staff and the patient.
The invention aims to solve the problems of low intelligent degree, incapability of early warning, slow self-rescue response of a patient using a device, complex operation, poor portability, uncorrectable errors, extremely poor wearing comfort of the patient and the like generally existing in the field of control systems.
Disclosure of Invention
The invention aims to provide an intelligent monitoring system aiming at the existing defects.
The invention adopts the following technical scheme:
an intelligent monitoring system comprises a server, a detection module, a connection module and a posture acquisition module, wherein the server is respectively connected with the detection module, the connection module and the posture acquisition module;
the detection module is used for detecting physiological data of a patient to acquire the physiological data of each posture of the patient;
the connecting module is used for establishing a connecting transmission channel between the detection module and the posture acquisition module so as to realize transmission of physiological data of the patient;
the posture acquisition module is used for detecting the posture of the patient so as to sense the current posture of the patient;
the posture acquisition module comprises an acquisition unit, a support unit and an analysis unit, wherein the support unit is used for supporting the patient so as to be matched with the acquisition unit to detect the posture of the patient; the acquisition unit is used for acquiring the posture data of the patient and the heart rate data generated when the posture is changed so as to determine the current state of the patient; the analysis unit is used for analyzing the posture data and the heart rate data generated when the posture changes so as to monitor the real-time state of the patient;
the acquisition unit comprises a plurality of posture acquisition probes, a plurality of pulse acquisition probes and a data acquisition unit, and each posture acquisition probe is used for acquiring posture data of the patient; the pulse acquisition probe is used for acquiring heart rate data of the patient; wherein each pulse acquisition probe is arranged on the supporting unit;
the analysis unit calculates a posture deviation index Move of the patient according to the following formula according to the position data of each posture acquisition probe:
Figure 391030DEST_PATH_IMAGE001
wherein Trans is a transition base whose value is related to the patient's own status; t is sampling time; post_ x For the offset of the patient along the x direction, the following conditions are satisfied:
Figure 916689DEST_PATH_IMAGE002
wherein i is the ith sample data of the gesture acquisition probe; n is the total amount of sample data of the gesture acquisition probe; x is the number of i (t) the acceleration component of the ith sample data in the direction right in front of the horizontal plane, wherein the data is acquired by the posture acquisition probe; v x_0 An initial velocity for the patient moving in the x-direction, the value of which is related to the speed of movement of the patient;
Post_ y for the offset of the patient along the y direction, the following are satisfied:
Figure 900563DEST_PATH_IMAGE003
wherein i is the ith sample data of the gesture acquisition probe; n is the total amount of sample data of the gesture acquisition probe; y is i (t) the acceleration component of the ith sample data vertical to the x direction on the horizontal plane, wherein the data is acquired by the posture acquisition probe; v y_0 An initial velocity of the patient moving in the y-direction, the value of which is related to the speed of movement of the patient;
Post_ z deviation of the patient along the z-directionThe shift quantity satisfies:
Figure 929699DEST_PATH_IMAGE004
wherein i is the ith sample data of the gesture acquisition probe; n is the total amount of sample data of the gesture acquisition probe; z is a radical of formula i (t) is the acceleration component of the ith sample data on the vertical plane, the data of which is collected by the gesture collecting probe; v z_0 An initial velocity of the patient moving in the z-direction, the value of which is related to the speed of movement of the patient;
the analysis unit acquires a pulse waveform acquired by a pulse acquisition probe in a period T, and calculates a pulse fluctuation index Break of the patient according to the following formula:
Figure 107871DEST_PATH_IMAGE005
wherein j is the jth pulse waveform peak value of the pulse acquisition probe; m-1 is the total pulse waveform peak value of the pulse acquisition probe; b is j The abscissa of the peak value of the pulse waveform in the sampling period T; move is a gesture offset index;
and if the pulse fluctuation index Break exceeds the monitoring threshold, giving out early warning to medical staff to prompt the medical staff to nurse the state of the patient.
Optionally, the detection module includes a detection unit and a data storage, and the detection unit is configured to detect physiological data of the patient; the data memory is used for storing the data of the detection unit;
the detection unit comprises a detection patch, a signal transmitter and a plurality of detection probes, and each detection probe is arranged on the detection patch to acquire physiological data of the patient; the signal transmitter transmits the data of each detection probe to the connection module; the detection patches are used for fixedly connecting each detection probe to the skin surface of the patient.
Optionally, the connection module includes a connection unit and a pairing unit, and the pairing unit is configured to pair the detection module and the gesture acquisition module to establish a data transmission cooperative channel;
the connection unit transmits the data of the detection module and the posture acquisition module to medical personnel after establishing the pairing mapping relationship between the detection module and the posture acquisition module;
wherein, the connecting unit is respectively and electrically connected with each detection probe, the posture acquisition probe and the pulse acquisition probe.
Optionally, the support unit comprises a support pad and a posture monitor, the support pad being laid flat on the patient bed to provide support to the patient; the posture monitor is used for monitoring the data of the acquisition unit and transferring the data through the posture monitor so as to transmit the monitoring data to a nurse station and a medical care monitoring platform; wherein, the supporting pad extends along the width and the length direction of bed board to with sick bed adaptation.
Optionally, the monitoring system further includes an early warning module, and the early warning module triggers early warning of a corresponding level based on the data of the posture detection module to prompt a medical worker to warn;
the early warning module comprises an early warning unit and an interaction unit, and the early warning unit triggers early warning according to the data of the posture detection module so as to prompt the current state of the patient to the medical staff;
the interaction unit is used for establishing an interaction relation between the patient and the medical staff so as to provide interaction prompt for the patient and the medical staff;
the interaction unit comprises a touch screen and an interaction collector, and the touch screen is used for collecting the operation data of the patient or the medical staff; the interaction collector is used for collecting the operation data of the patient or the medical staff and triggering the monitoring operation corresponding to the operation data.
Optionally, the gesture acquisition probe comprises an acceleration sensor.
The beneficial effects obtained by the invention are as follows:
1. the posture acquisition module is matched with the connecting module and the detection module, so that the physiological data of the patient can be detected more accurately, and the device has the advantages of simplicity and convenience in operation, easiness in carrying and good comfort;
2. the heartbeat or physiological data of the patient can be detected through the mutual matching of the detection module and the posture acquisition module, and prompt is given to a nurse station or medical care personnel, and meanwhile, the wearing comfort of the patient is improved by adopting a wireless transmission mode;
3. comparing the pulse fluctuation value with a monitoring threshold value, and sending early warning to medical staff when abnormality occurs so as to prompt the medical staff to nurse the state of the patient;
4. the physiological data of the patient is detected in a wireless mode, the wearing comfort of the patient is taken into consideration, the connection mode of connecting a probe in a wired mode in the prior art is changed, and the convenience of turning over or posture adjustment is improved;
5. after the cooperative coordination between the data of the detection module and the data of the posture detection module is established, the physiological data of the patient during various actions are monitored, so that the misjudgment caused by the action of the patient is prevented, and the monitoring precision of the whole monitoring system is improved;
6. the intelligent early warning system enables the patient to obtain the best comfort, also accurately detects the physiological data of the patient, improves the convenience of operation, and meanwhile, can carry out intelligent early warning according to different monitoring data, so that the nursing effect of medical care personnel is better.
For a better understanding of the features and technical content of the present invention, reference is made to the following detailed description of the invention and accompanying drawings, which are provided for purposes of illustration and description only and are not intended to limit the invention.
Drawings
The invention will be further understood from the following description in conjunction with the accompanying drawings. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the embodiments. Like reference numerals designate corresponding parts throughout the different views.
FIG. 1 is an overall block diagram of the present invention.
Fig. 2 is a schematic view of a patient worn posture detecting probe and a detecting probe of the present invention.
Fig. 3 is a schematic view of an application scenario of the patient wearing the posture detection probe and detecting the movement of the probe according to the present invention.
FIG. 4 is a schematic structural diagram of a detection probe and a detection patch of the present invention.
FIG. 5 is a schematic view of the configuration of the posture detecting probe and the binding band of the present invention.
Fig. 6 is a schematic view of an application scenario of a patient bed according to the present invention.
Fig. 7 is a schematic structural view of the support pad and the posture monitor of the present invention.
Fig. 8 is a schematic control flow diagram of the recognition unit and the sound collection unit according to the present invention.
Fig. 9 is a schematic view of an application scenario of the heart rate sensor of the present invention during measurement.
Fig. 10 is a schematic view of an application scenario of the patient heart rate warning according to the present invention.
Fig. 11 is a schematic view of an application scenario of the patient posture or motion amplitude warning of the present invention.
The reference numbers illustrate: 1-detecting a patch; 2-detecting the probe; 3-the patient; 4-posture acquisition probe; 5-a support pad; 6-pulse acquisition probe; 7-binding band; 8, a sickbed; 9-posture monitor.
Detailed Description
The following is a description of embodiments of the present invention with reference to specific embodiments, and those skilled in the art will understand the advantages and effects of the present invention from the disclosure of the present specification. The invention is capable of other and different embodiments and its several details are capable of modification in various other respects, all without departing from the spirit and scope of the present invention. The drawings of the present invention are for illustrative purposes only and are not drawn to scale. The following embodiments will further explain the related art of the present invention in detail, but the disclosure is not intended to limit the scope of the present invention.
The first embodiment.
According to fig. 1, fig. 2, fig. 3, fig. 4, fig. 5, fig. 6, fig. 7, fig. 8, fig. 9, fig. 10, and fig. 11, this embodiment provides an intelligent monitoring system, where the monitoring system includes a server, and further includes a detection module, a connection module, and a posture collection module, and the server is connected to the detection module, the connection module, and the posture collection module, respectively;
the detection module is used for detecting physiological data of a patient to acquire the physiological data of each posture of the patient;
the connection module is used for establishing a connection transmission channel between the detection module and the posture acquisition module so as to transmit physiological data of the patient;
the posture acquisition module is used for detecting the posture of the patient so as to sense the current posture of the patient;
the monitoring system comprises a processor, the processor is respectively in control connection with the server, the detection module, the connection module and the posture acquisition module, and the detection module, the connection module and the posture acquisition module are subjected to centralized control based on the processor, so that the intelligent monitoring of the whole system on a patient is improved, and meanwhile, the early warning of the critical condition of the patient is taken into consideration, so that medical staff are prompted to carry out nursing or treatment;
the detection module and the posture acquisition module are matched with each other, so that the heartbeat or physiological data of the patient can be detected, and prompt is given to a nurse station or medical staff;
in addition, the posture acquisition module is matched with the connection module and the detection module, so that the physiological data of the patient can be detected more accurately, and the device has the advantages of simplicity and convenience in operation, easiness in carrying and good comfort;
the posture acquisition module comprises an acquisition unit, a support unit and an analysis unit, wherein the support unit is used for supporting the patient so as to match the acquisition unit to detect the posture of the patient; the acquisition unit is used for acquiring the posture data of the patient and the heart rate data generated when the posture is changed so as to determine the current state of the patient; the analysis unit is used for analyzing the posture data and the heart rate data generated when the posture changes so as to monitor the real-time state of the patient;
the acquisition unit comprises a plurality of posture acquisition probes, a plurality of pulse acquisition probes and a data acquisition unit, and each posture acquisition probe is used for acquiring posture data of the patient; the pulse acquisition probe is used for acquiring heart rate data generated when the posture of the patient changes; wherein each pulse acquisition probe is arranged on the supporting unit; the gesture acquisition probe comprises an acceleration sensor;
wherein the acquisition unit further comprises a binding strap for securing the posture acquisition probe on the patient for detecting posture data of the patient; in addition, the binding belt is preferably made of elastic materials, so that the posture acquisition probe can be tightly bound on the patient;
the analysis unit calculates a posture deviation index Move of the patient according to the following formula according to the position data of each posture acquisition probe:
Figure 589668DEST_PATH_IMAGE006
wherein Trans is a conversion base, the value of which is related to the self state of the patient and satisfies the following conditions:
Figure 878698DEST_PATH_IMAGE007
in the formula, K age Is the age factor of the patient; k gender Is the sex coefficient of the patient; k weight A weight coefficient of the patient; k activity Is the patient's exercise intensity coefficient; the specific numerical value of the coefficient can be adjusted by an operator according to the actual condition; alpha, beta, gamma and lambda are weights, and the values are set according to the actual condition of the patient and are not described any more; t is sampling time; post_ x An offset along the x-direction for the patient; post_ y An offset for the patient along the y-direction; post_ z An offset along the z-direction for the patient; and the x direction, the y direction and the z direction are mutually vertical pairwise;
post _ x is the offset of the patient along the x direction, and satisfies the following conditions:
Figure 903286DEST_PATH_IMAGE008
wherein i is the ith sample data of the gesture acquisition probe; n is the total amount of sample data of the gesture acquisition probe; x is the number of i (t) the acceleration component of the ith sample data in the direction right before the horizontal plane, wherein the data is acquired by the posture acquisition probe; v x_0 The initial speed of the patient moving along the x direction is related to the moving speed of the patient, and the moving speed of the patient can be directly set according to the moving speed of the patient;
Post_ y for the offset of the patient along the y direction, the following is satisfied:
Figure 376992DEST_PATH_IMAGE009
wherein i is the ith sample data of the gesture acquisition probe; n is the total amount of sample data of the gesture acquisition probe; y is i (t) the acceleration component of the ith sample data vertical to the x direction on the horizontal plane, wherein the data is acquired by the posture acquisition probe; v y_0 An initial velocity of the patient moving in the y-direction, the value of which is related to the speed of movement of the patient;
Post_ z the offset of the patient along the z direction satisfies the following conditions:
Figure 719987DEST_PATH_IMAGE010
wherein i is the ith sample data of the gesture acquisition probe; n is the total amount of sample data of the gesture acquisition probe; z is a radical of formula i (t) the acceleration component of the ith sample data on the vertical plane, the data of which is collected by the gesture collection probe; v z_0 An initial velocity for a patient moving in the z direction, the value of which is related to the speed of movement of the patient;
the analysis unit acquires a pulse waveform acquired by a pulse acquisition probe in a period T, and calculates a pulse fluctuation index Break of the patient according to the following formula:
Figure 671762DEST_PATH_IMAGE011
wherein j is the jth pulse waveform peak value of the pulse acquisition probe; m-1 is the total pulse waveform peak value of the pulse acquisition probe; b is j The abscissa of the peak value of the pulse waveform in the sampling period T; move is a gesture offset index;
it is noted that V x_0 、V y_0 、V z_0 All of them are related to the moving speed of the patient, and in this embodiment, they are equal to each other by default for convenience of measurement, and equal to the moving speed specific to the patient (the moving speed of the patient is a constant value by default); the real-time moving speed of the patient can also be indirectly measured according to a displacement sensor set on the patient, which is a technical means well known to those skilled in the art and is not described in detail herein;
and if the pulse fluctuation index Break exceeds the monitoring threshold, giving out early warning to medical staff to prompt the medical staff to nurse the state of the patient. Optionally, the support unit comprises a support pad and a posture monitor, the support pad being laid flat on the patient bed to provide support to the patient; the posture monitor is used for monitoring the data of the acquisition unit and transferring the data through the posture monitor so as to transmit the monitoring data to a nurse station and a medical care monitoring platform; the supporting pad extends along the width and length directions of the bed board and is matched with the sickbed;
wherein the acquisition unit is arranged on the support unit to cooperate with the posture monitor to monitor the data of the acquisition unit;
meanwhile, the posture monitor is also connected with a medical care system of a hospital to realize data sharing, improve the intelligent monitoring of the patient and improve the monitoring accuracy of the patient;
optionally, the monitoring system further includes an early warning module, and the early warning module triggers early warning of a corresponding level based on the data of the posture detection module to prompt a medical worker to warn;
the early warning module triggers early warning according to the data of the posture detection module, so that medical personnel can perform early warning according to the actual condition of the patient, the prevention and monitoring work of the state of an illness of the patient is enhanced, and the comfort and the intelligent monitoring capability of the patient are improved;
the early warning module comprises an early warning unit and an interaction unit, and the early warning unit triggers early warning according to the data of the posture detection module so as to prompt the current state of the patient to the medical staff; the interaction unit is used for establishing an interaction relation between the patient and the medical staff so as to provide interaction prompt for the patient and the medical staff;
in addition, the interaction unit comprises a touch screen and an interaction collector, and the touch screen is used for collecting the operation data of the patient or the medical staff; the interaction acquisition unit is used for acquiring the operation data of the patient or the medical staff and triggering the monitoring operation corresponding to the operation data;
the early warning unit early warning device triggers early warning according to the analysis result of the analysis unit; the prompting component triggers a prompt to the medical care personnel according to the early warning information of the early warning unit;
the early warning information prompts the patient through the touch screen to coordinate with the medical staff for nursing, so that the nursing of the patient is optimal, and the intelligent monitoring of the patient is also considered;
if the alarm is not in the range of the following formula, triggering the early warning of the corresponding grade:
Figure 550857DEST_PATH_IMAGE012
in the formula, range 1 A first pre-warning threshold; range 2 A second early warning threshold; zoom is a monitoring threshold;
will be provided with
Figure 195464DEST_PATH_IMAGE013
And a preset first early warning threshold Range 1 And a second warning threshold Range 2 Comparing;
if present, is
Figure 792799DEST_PATH_IMAGE014
If the physiological data monitored by the patient is overlarge, triggering early warning of a corresponding level to the medical staff; if present, is
Figure 548265DEST_PATH_IMAGE015
If the physiological data monitored by the patient is too small, triggering early warning of a corresponding grade to the medical staff;
in this embodiment, the first early warning threshold and the second early warning threshold are both set according to the self condition of the patient; for example: for critical patients, the first early warning threshold Range of the general patients 1 And the second early warning threshold Range 2 Another early warning threshold value interval is marked out in the interval to promote the nursing operation of the critical patient; of particular note is the Range described above 1 ，Range 2 ]Early warning threshold for non-critical patients, if critical patients, in Range 1 To Range 2 Marking out another early warning threshold interval in the interval;
optionally, the detection module includes a detection unit and a data storage, and the detection unit is configured to detect physiological data of the patient; the data memory is used for storing the data of the detection unit;
the detection unit comprises a detection patch, a signal transmitter and a plurality of detection probes, and each detection probe is arranged on the detection patch to acquire physiological data of the patient; the signal transmitter transmits the data of each detection probe to the connection module; the detection patch is used for fixedly connecting each detection probe to the skin surface of the patient; the detection patch is adhered to the outer surface of the patient in a viscose mode, and conductive gel or liquid conductive medium is coated between the detection probe and the skin of the patient; the detection probe includes, but is not limited to, the following listed ones: sensors such as a heart rate sensor, a temperature sensor, a photoelectric sensor, a blood pressure sensor, a blood sugar sensor and a pulse sensor for detecting the body temperature, the blood sugar, the blood fat, the blood pressure, the heart rate or the heartbeat of a patient, preferably a micro patch type sensor;
in particular, in the present embodiment, the physiological data includes, but is not limited to, the following listed types: heart rate, body temperature, blood glucose, blood lipid, blood pressure, etc.; if a certain physiological data is to be measured, a sensor related to the physiological parameter is selected, which is well known to those skilled in the art and will not be described repeatedly;
the detection module is matched with the connection module, so that a data transmission passage is established between the detection module and the posture acquisition module, and the intelligent monitoring of the overall physiological data of the patient is improved;
meanwhile, a detection patch type pasting mode is fixed on the patient, so that the patient can move flexibly without being hindered by a wired connection mode, and the comfort of physiological data acquisition of the patient is improved;
each detection probe is arranged on the detection patch to form a detection part, and the detection part is stuck to a detection part to detect physiological data of the detection part; for example: if the heart rate data of the patient is detected, a detection part made of a heart rate sensor is selected and stuck to one or more positions of the chest, the wrist and the ankle of the patient, and the accuracy of detecting the heart rate of the patient is improved by detecting the positions of the patient;
the connecting module comprises a connecting unit and a pairing unit, and the pairing unit is used for pairing the detection module and the gesture acquisition module to establish a data transmission channel; the connection unit is matched with the support unit, so that data on the support unit can be transmitted through the established connection transmission channel, and the data return efficiency is improved; meanwhile, after the posture monitors on the supporting unit are paired, the identity data of the patient can be bound, so that the data of the posture monitors can be accurately acquired; meanwhile, after the data of the detection module and the posture detection module are paired and connected, the physiological data of the patient during various actions are monitored, so that misjudgment caused by the action of the patient is prevented, and the monitoring precision of the whole monitoring system is improved;
the connection unit transmits the data of the detection module and the posture acquisition module to medical personnel after establishing the pairing mapping relationship between the detection module and the posture acquisition module; the connecting unit is electrically connected with each detection probe, the posture acquisition probe and the pulse acquisition probe respectively;
the detection module and the posture acquisition module are matched through the connection module, so that the monitoring accuracy of a patient is better, the wearing comfort of the patient is also considered, the traditional connection mode of connecting a probe through a wire is changed, and the convenience of turning over or posture adjustment is improved;
the intelligent medical nursing system has the advantages that the patient can obtain the best comfort, the accurate detection of the physiological data of the patient is also considered, the convenience of operation is improved, meanwhile, the intelligent early warning can be carried out according to different monitoring data, and the nursing effect of medical care personnel is better.
Example two.
The present embodiment should be understood to include at least all the features of any one of the embodiments described above, and further modified based on the features shown in fig. 1, fig. 2, fig. 3, fig. 4, fig. 5, fig. 6, fig. 7, fig. 8, fig. 9, fig. 10, and fig. 11, and in that the intelligent monitoring system further includes a patient bed, the patient bed includes an identification unit, a limiting plate, a bed plate, and a sound collection unit, the identification unit is disposed on the limiting plate, wherein the identification unit is configured to identify the position of the patient to determine that the patient lies on the bed plate; the sound acquisition unit is used for detecting breathing sound of a patient so as to determine whether the patient is positioned on the bed board; the limiting plate is arranged on the periphery of the bed plate to prevent the patient from falling off the bed plate;
in addition, the recognition unit and the sound collection unit are in control connection with the processor, and meanwhile, the recognition unit and the sound collection unit are controlled in a centralized mode on the basis of the processor; wherein the content of the first and second substances,
wherein the identification unit comprises a storage chamber for storing the identification probe, an identification probe and a wireless transmitter; wherein the identification probe is disposed concealed within the storage chamber; the identification probe is used for acquiring the position of the patient so as to determine whether the patient lies on the bed board; the wireless transmitter transmits the data identified by the identification probe and the processor to judge the position of the patient, so that the position of the patient is detected, the patient is prevented from falling off the bed bottom, and the accurate monitoring of the patient is improved;
the sound collecting unit comprises a sound collecting array and a sound transmitter, and the sound collecting array is used for collecting sound data of the patient so as to determine the sleeping state or position of the patient; the sound transmitter acquires the data of the pickup array and transmits the sound data to the processor;
determining a respiratory state of the patient from the sound data; wherein the respiratory state of the patient is calculated according to the following equation:
Figure 16287DEST_PATH_IMAGE016
in the formula, breathe v Is a standard index of breathing intervals in the v-th monitoring period; BIN v For the time difference between the v-th respiratory event and the v + 1-th respiratory time, the following are satisfied:
Figure 831796DEST_PATH_IMAGE017
；N peak the number of the patient autocorrelation peak points;
Figure 149383DEST_PATH_IMAGE018
is the start time of the kth respiratory event;
Figure 708540DEST_PATH_IMAGE019
is the start time of the k +1 th respiratory event;
if the standard index breath interval v When the respiratory state is smaller than the respiratory monitoring threshold, the respiratory state of the patient accords with a set respiratory monitoring range;
meanwhile, in determining the position of the patient, it is necessary to satisfy:
1) The identification probe detects that the patient lies on the bed plate;
2) Standard index breath interval v Less than a respiratory monitoring threshold, wherein if greater than the monitoring threshold, a risk of apnea exists;
through right patient's position is confirmed, can be right state when patient lies down is monitored, can effectively promote the patient and when standing up or removing, carries out accurate control to the risk that the accident fell, promotes patient's care level and monitoring efficiency.
The above disclosure is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, so that all the modifications and equivalents of the technical changes and equivalents made by the disclosure and drawings are included in the scope of the present invention, and the elements thereof may be updated as the technology develops.

Claims (2)

1. An intelligent monitoring system comprises a server, and is characterized by further comprising a detection module, a connection module and a posture acquisition module, wherein the server is respectively connected with the detection module, the connection module and the posture acquisition module;
the detection module is used for detecting physiological data of a patient to acquire the physiological data of each posture of the patient;
the connecting module is used for establishing a connecting transmission channel between the detection module and the posture acquisition module so as to realize transmission of physiological data of the patient;
the posture acquisition module comprises an acquisition unit, a support unit and an analysis unit, wherein the support unit is used for supporting the patient so as to match the acquisition unit to detect the posture of the patient; the acquisition unit is used for acquiring the posture data of the patient and the heart rate data generated when the posture is changed so as to determine the current state of the patient; the analysis unit is used for analyzing the posture data and the heart rate data generated when the posture is changed so as to monitor the real-time state of the patient;
the acquisition unit comprises a plurality of posture acquisition probes, a plurality of pulse acquisition probes and a data acquisition unit, and each posture acquisition probe is used for acquiring posture data of the patient; the pulse acquisition probe is used for acquiring heart rate data generated when the posture of the patient changes; wherein each pulse acquisition probe is arranged on the supporting unit;
the analysis unit calculates a posture deviation index Move of the patient according to the following formula according to the position data of each posture acquisition probe:
Figure 401058DEST_PATH_IMAGE002
wherein t is the sampling time and Trans is the conversion base, the value of which is related to the self state of the patient; satisfies the following conditions:
Figure 849357DEST_PATH_IMAGE004
in the formula, K age Is the age factor of the patient; k is gender Is the sex coefficient of the patient; k weight A weight coefficient of the patient; k is activity Is the patient's motion intensity coefficient; the specific numerical value of the coefficient can be adjusted by an operator according to the actual condition; alpha, beta, gamma and lambda are weights, and the values of the weights are set according to the actual condition of the patient; post_ x An offset along the x-direction for the patient; post_ y An offset of the patient along the y-direction; post_ z An offset along the z-direction for the patient; and the x direction, the y direction and the z direction are mutually vertical pairwise;
Post_ x satisfies the following conditions:
Figure 691411DEST_PATH_IMAGE006
wherein i is the ith sample data of the gesture acquisition probe; n is the total amount of sample data of the gesture acquisition probe; x is the number of i (t) the acceleration component of the ith sample data in the direction right in front of the horizontal plane, wherein the data is acquired by the posture acquisition probe; v x_0 An initial velocity of the patient moving in the x-direction, the value of which is related to the speed of movement of the patient;
Post_ y satisfies the following conditions:
Figure 617779DEST_PATH_IMAGE008
wherein i is the ith sample data of the gesture acquisition probe; n is the total amount of sample data of the gesture acquisition probe; y is i (t) the ith sample data of a plane perpendicular to the x-direction on the horizontal planeThe acceleration component of (a), the data of which is acquired by the posture acquisition probe; v y_0 An initial velocity of the patient moving in the y-direction, the value of which is related to the speed of movement of the patient;
Post_ z satisfies the following conditions:
Figure 963310DEST_PATH_IMAGE010
wherein i is the ith sample data of the gesture acquisition probe; n is the total number of samples of the gesture acquisition probe; z is a radical of formula i (t) the acceleration component of the ith sample data on the vertical plane, the data of which is collected by the gesture collection probe; v z_0 An initial velocity of the patient moving in the z-direction, the value of which is related to the speed of movement of the patient;
the analysis unit acquires a pulse waveform acquired by a pulse acquisition probe in a period T, and calculates a pulse fluctuation index Break of the patient according to the following formula:
Figure 582510DEST_PATH_IMAGE012
wherein j is the jth pulse waveform peak value of the pulse acquisition probe; m-1 is the total pulse waveform peak value of the pulse acquisition probe; b j Is the abscissa of the peak value of the pulse waveform in the sampling period T; move is a gesture offset index;
if the pulse fluctuation index Break exceeds the monitoring threshold, sending out early warning to medical staff to prompt the medical staff to nurse the state of the patient;
the monitoring system further comprises a processor, the processor is respectively in control connection with the server, the detection module, the connection module and the posture acquisition module, and the detection module, the connection module and the posture acquisition module are subjected to centralized control based on the processor, so that the intelligent monitoring of the whole system on patients is improved, meanwhile, the early warning of the critical conditions of the patients is taken into consideration, and medical staff are prompted to carry out nursing or treatment;
the detection module comprises a detection unit and a data memory, wherein the detection unit is used for detecting the physiological data of the patient; the data memory is used for storing the data of the detection unit;
the detection unit comprises a detection patch, a signal transmitter and a plurality of detection probes, and each detection probe is arranged on the detection patch to acquire physiological data of the patient; the signal transmitter transmits the data of each detection probe to the connection module; the detection patches are used for fixedly connecting each detection probe to the skin surface of the patient;
the connecting module comprises a connecting unit and a pairing unit, and the pairing unit is used for pairing the detection module and the gesture acquisition module to establish a data transmission cooperative channel;
after the connection unit establishes the pairing mapping relationship between the detection module and the posture acquisition module, the connection unit transmits the data of the detection module and the posture acquisition module to medical personnel;
the connecting unit is electrically connected with each detection probe, the posture acquisition probe and the pulse acquisition probe respectively;
the support unit comprises a support cushion and a posture monitor, and the support cushion is tiled on a sickbed to provide support force for the patient; the posture monitor is used for monitoring the data of the acquisition unit and transferring the data through the posture monitor so as to transmit the monitoring data to a nurse station and a medical care monitoring platform; the supporting pad extends along the width and length directions of the sickbed plate and is matched with the sickbed;
the intelligent monitoring system also comprises an early warning module, and the early warning module triggers early warning of a corresponding grade based on the data of the posture acquisition module so as to prompt medical staff to warn; the early warning module comprises an early warning unit and an interaction unit, and the early warning unit triggers early warning according to the data of the posture acquisition module so as to prompt the current state of the patient to the medical staff;
the interaction unit is used for establishing an interaction relationship between the patient and the medical staff so as to provide interaction prompt for the patient and the medical staff;
the interaction unit comprises a touch screen and an interaction collector, and the touch screen is used for collecting touch data of the patient or the medical staff; the interaction collector is used for collecting the control data of the patient or the medical staff and triggering the monitoring operation corresponding to the control data;
the early warning unit comprises an early warning device and a prompting component, and the early warning device triggers early warning according to the analysis result of the analysis unit; the prompting component triggers a prompt to the medical care personnel according to the early warning information of the early warning unit;
the early warning information prompts the patient through the touch screen to coordinate with the medical staff for nursing, so that the nursing of the patient is optimal, and the intelligent monitoring of the patient is also considered;
if the alarm is in the range of the following formula, triggering the early warning of the corresponding grade:
Figure 646281DEST_PATH_IMAGE014
in the formula, range 1 A first pre-warning threshold; range 2 A second early warning threshold; zoom is a monitoring threshold;
will be provided with
Figure 376339DEST_PATH_IMAGE016
And a preset first early warning threshold Range 1 And a second warning threshold Range 2 Comparing;
if present, is
Figure 841956DEST_PATH_IMAGE018
If so, triggering early warning of a corresponding grade to the medical staff if the physiological data monitored by the patient is overlarge; if present, is
Figure 366478DEST_PATH_IMAGE020
If the physiological data monitored by the patient is too small, triggering early warning of a corresponding grade to the medical staff;
the intelligent monitoring system further comprises a sickbed, the sickbed comprises an identification unit, a limiting plate, a bed plate and a sound acquisition unit, the identification unit is arranged on the limiting plate, and the identification unit is used for identifying the position of the patient to ensure that the patient lies on the bed plate; the sound acquisition unit is used for detecting breathing sound of a patient to determine whether the patient is positioned on the bed board; the limiting plate is arranged on the periphery of the bed plate to prevent the patient from falling off the bed plate;
the recognition unit and the sound acquisition unit are in control connection with the processor, and meanwhile, the recognition unit and the sound acquisition unit are controlled in a centralized manner based on the processor;
wherein the identification unit comprises a storage chamber for storing the identification probe, an identification probe and a wireless transmitter; wherein the identification probe is disposed concealed within the storage chamber; the identification probe is used for acquiring the position of the patient to determine whether the patient lies on a bed board; the wireless transmitter transmits the data identified by the identification probe and the processor to judge the position of the patient, so that the position of the patient is detected, the patient is prevented from falling to the bottom of the bed, and the accurate monitoring of the patient is improved;
the sound collecting unit comprises a pickup array and a sound transmitter, and the pickup array is used for collecting sound data of the patient so as to determine the sleeping state or position of the patient; the sound transmitter acquires data of the pickup array and transmits the sound data to the processor;
determining a respiratory state of the patient from the sound data; wherein the respiratory state of the patient is calculated according to the following equation:
Figure 651966DEST_PATH_IMAGE022
in the formula, break v Is a standard index of breathing intervals in the v-th monitoring period; BIN v For the time difference between the v-th respiratory event and the v + 1-th respiratory time, the following are satisfied:
Figure 185715DEST_PATH_IMAGE024
；N peak the number of patient autocorrelation peak points;
Figure 240259DEST_PATH_IMAGE026
is the start time of the kth respiratory event;
Figure 732420DEST_PATH_IMAGE028
is the start time of the k +1 th respiratory event;
if the standard index breath interval v When the respiratory state is smaller than the respiratory monitoring threshold, the respiratory state of the patient accords with a set respiratory monitoring range;
wherein, in determining the position of the patient, it is required to satisfy:
1) The identification probe detects that the patient lies on the bed plate;
2) Standard index breath interval v Less than a respiratory monitoring threshold, wherein if greater than the monitoring threshold, a risk of apnea exists.
2. The intelligent monitoring system of claim 1, wherein the gesture acquisition probe comprises an acceleration sensor.
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