CN113208637A - Working state identification system for exercise rehabilitation physiological parameter sensing detection device - Google Patents
Working state identification system for exercise rehabilitation physiological parameter sensing detection device Download PDFInfo
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Abstract
The invention relates to a working state identification system for a physical parameter sensing detection device for exercise rehabilitation, belonging to the field of physiological monitoring. The system comprises a physiological parameter acquisition module, a main control module, a wireless transmission module, a sensing device working state judgment module, a storage module, an alarm triggering module and an intelligent terminal module. The physiological parameter acquisition module comprises a target physiological parameter acquisition module and a reference physiological parameter acquisition module, the main control module transmits the acquired target physiological parameters and the reference physiological parameters to the intelligent terminal through the wireless transmission module, and the working state of the target physiological parameter sensing detection device is judged by establishing a mapping relation model between the target physiological parameters and the reference physiological parameters. The invention can remind related personnel to adjust the abnormal physiological parameter detection device in time so as to reduce the problems of missed detection or false detection caused by falling, displacement or poor contact of the sensing detection device due to limb movement in the exercise rehabilitation process.
Description
Technical Field
The invention belongs to the field of physiological monitoring, and relates to a working state identification system for a physical parameter sensing and detecting device for exercise rehabilitation.
Background
In carrying out the rehabilitation training in-process, in order to make suitable rehabilitation training scheme according to the physiological parameter condition of rehabilitation training patient, prevent simultaneously because of training improper injury to the rehabilitation training patient that causes, need guardianship the physiological parameter of rehabilitation training patient in the rehabilitation training in-process to the rehabilitation therapist carries out corresponding adjustment to rehabilitation training mode and training intensity. Meanwhile, the limb movement in the rehabilitation training process can cause the situation that the detection device moves or falls off, and the situation that the monitoring data is missed or mistakenly detected occurs, so that the detection data is inaccurate, and the judgment of a rehabilitation therapist on the rehabilitation effect of a patient is influenced.
In the traditional physiological parameter monitoring process, in order to improve the accuracy of monitoring data and alarm and remind abnormal physiological data, an alarm method of high-low limit boundary-crossing triggering is mostly adopted, namely, an alarm threshold value is preset for the acquired physiological parameter, and when the acquired parameter exceeds the threshold value, an alarm is triggered, so that the method has the fastest alarm response, but too many false alarms can be introduced to interfere the judgment of medical personnel; the patent US5865736, however, proposes to calculate the integral of the overrun depth and the overrun time and set the integral limit to control the triggering of the alarm, which, although suppressing false alarms to some extent, is slightly insufficient in terms of fast response.
Based on the two situations, the patent CN200610033077.4 proposes to establish an adaptive alarm model, which can automatically adjust model parameters according to different monitored objects, thereby automatically setting an alarm threshold; patent CN200810216458.5 proposes that at least two alarm factors of physiological parameters are adopted, the alarm intensity is obtained by inference according to a fuzzy logic theory, and an alarm is triggered when the alarm intensity exceeds a final alarm limit; patent CN201611187641.8 proposes to obtain time-related physiological parameters by continuously monitoring physiological parameters, calculate the variation trend and the variation rate of the physiological parameters, calculate the alarm triggering time by the variation rate when the physiological parameters exceed the preset alarm limit, and trigger the alarm prompt when the physiological parameters do not return to the normal value within the alarm triggering time.
Besides adjusting the alarm triggering threshold value of the physiological parameter, other factors are introduced for comprehensive judgment. For example, patent CN201610002201.4 realizes a detection mode with different detection and early warning thresholds for different races according to the difference of four races in the world; the patent CN201810167705.0 introduces environmental factors, and carries out comprehensive judgment according to environmental parameters and other parameters in order to avoid false alarms; patent CN201910833058.7 proposes a movement reminding method based on target heart rate, which comprehensively considers the age, movement condition and physical condition of the user, so that the early warning method has a wider application range.
The early warning method provided by the above improves the problems of false alarm, untimely response, inaccurate monitoring data and the like in the physiological parameter monitoring process to a certain extent, is mainly applied to central monitoring systems, Intensive Care Units (ICUs), coronary heart disease intensive care units (CUUs) and community remote monitoring systems in hospitals, and the objects to be detected are mostly old people or patients with inconvenient actions, so that the physical activity of the objects to be detected is mostly in a static state in the physiological parameter detection process, the detection equipment is stably contacted with the body of the objects to be detected, the interference of movement on the physiological parameter detection is avoided, and even if the activities occur occasionally, false alarms can be reduced by the method. However, in exercise rehabilitation, the patient is required to perform related physical activities according to a rehabilitation scheme set by the medical care personnel, the contact between the detection device and the body of the patient can generate a contact unstable state due to the body movement of the patient, and the unstable state can cause the condition that the physiological parameters are missed or mistakenly detected, so that the monitoring data is inaccurate, and false alarm is caused and the judgment of the medical care personnel is influenced.
Aiming at the physiological parameter monitoring in the rehabilitation exercise, particularly the working state of the sensing detection device is identified, the misjudgment on the physiological parameter monitoring can be effectively reduced from the detection source, so that the subsequent body abnormity judgment of the object to be detected is more accurate, the misjudgment on the body abnormity condition of the object to be detected due to the missed detection or the misdetection of the sensing device is reduced, and the rehabilitation training effect is improved.
Disclosure of Invention
In view of the above, the present invention provides an operating condition identification system for an exercise rehabilitation physiological parameter sensing and detecting device.
In order to achieve the purpose, the invention provides the following technical scheme:
the system comprises a physiological parameter acquisition module, a main control module, a wireless transmission module, a sensing device working state judgment module, a storage module, an alarm triggering module and an intelligent terminal module;
the physiological parameter acquisition module is sequentially connected with the main control module, the wireless transmission module and the intelligent terminal module;
the physiological parameter acquisition module comprises a target physiological parameter acquisition module and a reference physiological parameter disability unit;
the intelligent terminal module comprises a sensing device working state judgment module, a storage module and an alarm triggering module.
Optionally, the physiological parameter collecting module is configured to dynamically collect, in real time, each relevant physiological parameter in the rehabilitation training process of the patient, and includes one or more target physiological parameter collecting units and one or more corresponding reference physiological parameter collecting units;
the main control module is used for preprocessing the data of the physiological parameter acquisition module and transmitting the physiological parameters to the intelligent terminal;
the wireless transmission module is connected with the main control module and wirelessly transmits the physiological parameter data processed by the main control module to the intelligent terminal module;
the sensing device working state judging module establishes a relational mapping model for the target physiological parameter and the reference physiological parameter, and calculates and judges the acquisition state of the target physiological parameter according to the acquisition data of the reference physiological parameter, so as to judge the working states of the target physiological parameter sensing device when acquiring the target physiological parameter, including the states of normal working, falling off, displacement and poor contact;
the storage module is used for storing the target physiological parameters and the working state information of the sensing device;
the alarm triggering module is used for identifying the working state of the sensor device and triggering alarm when the working state of the sensor is abnormal;
the intelligent terminal module receives and analyzes the physiological parameter information, stores the physiological parameter and the working state information of the sensing device, displays an abnormal prompt corresponding to the sensing device aiming at the abnormal working state condition of the sensing device, and reminds a user to adjust the abnormal sensing device in time.
Optionally, the system acquires data of the target physiological parameter sensing and detecting unit and data of a reference physiological parameter sensing and detecting unit, wherein the reference physiological parameter sensing and detecting data is used for assisting in judging the working state of the target physiological parameter sensing device;
aiming at different working states of the target physiological parameter sensing detection unit, establishing a working state judgment model of the target physiological parameter sensing detection device;
substituting the acquired real-time data of the target physiological parameters and the reference physiological parameters into a working state judgment model;
judging the working state of the target physiological parameter sensing detection device, and storing the working state;
and alarming the abnormal working state, and prompting a user to adjust the target physiological parameter sensing device in time.
Optionally, the reference physiological parameter sensing and detecting unit is one or more.
Optionally, the working state judgment model is used for judging whether the target physiological parameter sensing device is in an abnormal working state of falling off, shifting or poor contact.
Optionally, the target physiological parameter acquisition module comprises a myoelectricity measurement module, an electrocardio measurement module, a muscle vibration acceleration measurement module and a joint movement acceleration measurement module, and is electrically connected with the main control module through an IIC protocol or an SPI protocol.
Optionally, the main control module is a single chip microcomputer, and has a plurality of general IO ports, SPI ports, IIC ports and serial ports, and is used for connecting a plurality of physiological parameter detection modules, implementing multi-channel data acquisition by a chip selection function and a timing function of the SPI, receiving raw data of each physiological parameter detection unit, and performing a/D conversion, filtering processing and numerical calculation;
the main control module is in wired connection with the WIFI module through a UART serial port, and the WIFI module is in wireless communication with the intelligent terminal through a TCP/IP network protocol.
Optionally, the alarm for the abnormal working state is performed for a working state of the sensing device, which affects normal physiological parameter monitoring due to falling, displacement or poor contact of the corresponding sensing device, and the alarm content includes a specific sensing device.
The invention has the beneficial effects that:
(1) the device can collect various physiological parameters of a human body in real time, including common physiological parameters such as heart rate, electromyographic signals, joint movement and the like.
(2) The main factors that the detection result might be expected to be invalid in the exercise rehabilitation training, such as the loosening and falling of the sensing device due to repeated movement, the position change of the sensing detection device, and the like, can be analyzed.
(3) The working state of the sensing device is judged by fully utilizing signal and data analysis technology and internal correlation among physiological parameters, including dynamic change of the same parameter in rehabilitation training, correlation among different parameters and correlation among rehabilitation task loads.
(4) The robot can be applied to a plurality of rehabilitation training scenes, assists the robot in performing rehabilitation training, and provides reliable data reference for a patient to make a rehabilitation plan.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the invention may be realized and attained by the means of the instrumentalities and combinations particularly pointed out hereinafter.
Drawings
For the purposes of promoting a better understanding of the objects, aspects and advantages of the invention, reference will now be made to the following detailed description taken in conjunction with the accompanying drawings in which:
FIG. 1 is a block diagram of a system for identifying operating states of a physiological parameter sensing device according to the present invention;
FIG. 2 is a block diagram of a system for determining the operating status of a sensing device according to the present invention;
FIG. 3 is a schematic diagram of a method for identifying the operating state of a sensing device according to the present invention;
FIG. 4 is a system diagram illustrating the operation status recognition technique of the physiological parameter sensing device according to an embodiment of the present invention;
FIG. 5 is a diagram illustrating an exemplary application scenario of the operating condition recognition technique of the physiological parameter sensing device according to an embodiment of the present invention;
FIG. 6 is a flowchart of a method for determining a working status of an electromyographic signal sensing apparatus according to an embodiment of the present invention;
FIG. 7 is a flowchart of a method for determining a working status of the electrocardiographic signal sensing/detecting device according to an embodiment of the present invention;
FIG. 8 is a diagram illustrating an application scenario of the operating state recognition technique of the physiological parameter sensing device in another embodiment of the present invention
Fig. 9 is a flowchart of a method for determining an operating status of a physiological parameter sensing device according to another embodiment of the present invention.
Reference numerals: 1. a myoelectricity measurement module; 2. an electrocardio measuring module; 3. a muscle vibration acceleration measurement module; 4. a joint motion acceleration measurement module; 5. a main control module; 6. a stretchable band; 7. a temperature measurement module; 8. a muscle sound measurement module; 9. an integrated circuit board.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention in a schematic way, and the features in the following embodiments and examples may be combined with each other without conflict.
Wherein the showings are for the purpose of illustrating the invention only and not for the purpose of limiting the same, and in which there is shown by way of illustration only and not in the drawings in which there is no intention to limit the invention thereto; to better illustrate the embodiments of the present invention, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product; it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted.
The same or similar reference numerals in the drawings of the embodiments of the present invention correspond to the same or similar components; in the description of the present invention, it should be understood that if there is an orientation or positional relationship indicated by terms such as "upper", "lower", "left", "right", "front", "rear", etc., based on the orientation or positional relationship shown in the drawings, it is only for convenience of description and simplification of description, but it is not an indication or suggestion that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and therefore, the terms describing the positional relationship in the drawings are only used for illustrative purposes, and are not to be construed as limiting the present invention, and the specific meaning of the terms may be understood by those skilled in the art according to specific situations.
The present application provides a working state identification technology for an athletic rehabilitation physiological parameter sensing detection device, as shown in fig. 1, including:
the physiological parameter acquisition module is used for dynamically acquiring various related physiological parameters in the rehabilitation training process of a patient in real time, and comprises one or more target physiological parameter acquisition units and one or more corresponding reference physiological parameter acquisition units, wherein the target physiological parameters which can be acquired comprise important physiological signals of the human body, such as heart rate, blood oxygen saturation, electrocardiosignals, electromyographic signals and the like.
The main control module is used for processing and analyzing the acquired data, executing program instructions through basic arithmetic and logic operation, controlling the operation of other modules, analyzing the data of the physiological parameter acquisition module and transmitting the physiological parameters to the intelligent terminal.
And the wireless transmission module is used for wirelessly transmitting the working state information and the physiological parameter information of the sensing device to the intelligent terminal module.
The sensing device working state judging module is used for establishing a relational mapping model for the target physiological parameter and the reference physiological parameter, and calculating and judging the acquisition state of the target physiological parameter according to the acquisition data of the reference physiological parameter, so that the working states of the sensing device during acquiring the physiological parameter, including the states of normal working, falling, displacement, poor contact and the like, are judged.
And the storage module is used for storing the working state information of the sensor and the acquired target physiological parameters.
And the alarm triggering module is used for identifying the working state of the sensor and triggering alarm when the working state of the sensor is abnormal.
The intelligent terminal module receives and analyzes the physiological parameter information, stores the physiological parameter and the working state information of the sensing device, can directly see the abnormal prompt of the corresponding sensing device aiming at the abnormal condition of the working state of the sensing device, and reminds a user to adjust the abnormal sensing device in time.
Fig. 2 shows a block diagram of a system for determining an operating state of a sensing device, which includes:
acquiring real-time data of a target physiological parameter acquisition unit and a reference physiological parameter acquisition unit, inputting the two groups of data into a working state judgment module of a sensing device, and judging the working state of the sensing device of the target physiological parameter;
and storing and judging the working state, storing data of the target physiological parameters when the working state is normal, and triggering an alarm to remind a patient or medical personnel to adjust the sensing device in time when the working state is abnormal, such as abnormal conditions of falling off, displacement, poor contact and the like of the sensing device.
Fig. 3 shows a method for determining the operating state of the physiological parameter sensing and detecting device, which includes:
the physiological parameter sensing device comprises a sensing detection unit for acquiring target physiological parameters and a first sensing detection unit for referring to the physiological parameters, wherein first sensing detection data are used for assisting the judgment of the working state of the target physiological parameter sensing device, the first sensor can be an acceleration sensor, a temperature sensor and the like, one or more sensing detection units for assisting the judgment can be selected, and a second sensing detection unit, a third sensing detection unit and the like can be provided;
aiming at different working states of the target physiological parameter sensing detection unit, a target physiological parameter adjacent time dynamic change judgment model or a judgment model between first sensing detection units of reference physiological parameters is respectively established, and the judgment model is mainly used for judging whether the sensor is in abnormal working states such as falling off, displacement or poor contact;
substituting the acquired target physiological parameter data and the real-time data of the first sensing detection unit of the reference physiological parameter into the working state judgment model;
judging the working state of the target physiological parameter sensing detection unit and storing the working state;
and alarming the abnormal working state, and prompting a user to adjust the target physiological parameter sensing device in time.
Specifically, in one embodiment, the operation state identification technology for the physical parameter sensing and detecting device for motor rehabilitation according to the present application is shown in fig. 4 and 5, and includes:
the target physiological parameter acquisition module comprises the following target physiological parameters: the myoelectricity measuring module 1 and the electrocardio measuring module 3; reference physiological parameters: the muscle vibration acceleration measuring module 2 and the joint movement acceleration measuring module 4 are electrically connected with the main control module 5 through an IIC protocol or an SPI protocol.
The telescopic belt 6 is used for fixing the sensing detection device, the myoelectricity measuring module 1, the muscle vibration acceleration measuring module 2 and the main control module 5 are fixed on the telescopic belt 6, the telescopic belt 6 is worn on the gastrocnemius of the lower leg, and the myoelectricity measuring module 1 and the muscle vibration acceleration measuring module 2 are arranged on the outer side of the gastrocnemius; the electrocardio measuring module 3, the joint movement acceleration measuring module 4 and the main control module 5 are fixed on a telescopic belt 6, the telescopic belt 6 is worn at the ankle joint, the electrocardio measuring module 3 is arranged at the pulse point of the posterior tibial artery at the inner side of the ankle joint, and the joint movement acceleration measuring module 4 is arranged at the extensor hallucis longus at the front side of the ankle joint.
The main control module 5 adopts a single chip microcomputer which is provided with a plurality of general IO ports, SPI ports, IIC ports and serial ports, can be connected with a plurality of physiological parameter detection modules, can realize multi-channel data acquisition through the chip selection function and the timing function of the SPI, is used for receiving the original data of each physiological parameter detection unit, and carries out A/D conversion, filtering processing and numerical calculation.
The main control module is in wired connection with the WIFI module through a UART serial port, and the WIFI module is in wireless communication with the intelligent terminal through a TCP/IP network protocol.
The intelligent terminal comprises a mobile phone, a computer and the like, and can unpack the packed data transmitted by the main control module, monitor the working state of the sensing device in real time, and store the target physiological parameters and the working state of the sensing device, so that the contact state of the physiological parameter sensing detection device and the body is judged, an alarm is given to the abnormal working state, and a user is prompted to adjust the sensing device in time.
The four detection modules of the physiological parameter detection unit respectively acquire electromyographic signals, muscle vibration signals, electrocardiosignals and joint motion acceleration. And respectively judging the working states of the electromyographic signals and the electrocardio signals.
For the detection device 1 for the electromyographic signals, a muscle vibration acceleration measurement module 2 is adopted as a first sensing detection unit for auxiliary judgment, and mainly detects the vibration acceleration signals of the muscles, and the working state judgment flow is shown in fig. 6.
A myoelectric measuring module 1 and a muscle vibration acceleration measuring module 2 are arranged at adjacent positions on the outer side of gastrocnemius, myoelectric signals and muscle vibration acceleration signals in exercise rehabilitation are detected, and the sampling frequency is set to be 2000 Hz.
Monitoring the electromyographic signals under the condition that the muscle vibration acceleration signals are nonzero, continuously acquiring the number of zero electromyographic signal sampling points within 3s, judging that the electromyographic signal acquisition sensor is abnormal in working state if the number exceeds more than 90% of the total number of the sampling points within 3s, giving an alarm, and prompting a patient or medical staff to adjust the sensing device in time.
The method comprises the steps of establishing a mapping relation between an electromyographic signal and muscle vibration acceleration through a pre-experiment, bringing the collected electromyographic signal into a mapping model, solving an absolute value obtained by difference between the muscle vibration acceleration calculated through the mapping model and the actually collected muscle vibration acceleration, solving the percentage of the absolute value and the ideal muscle vibration acceleration, judging that the electromyographic collection sensor is abnormal in working state if the ratio is more than 40%, giving an alarm, and prompting a patient or medical personnel to adjust a sensing device in time.
And in the movement period T, monitoring the times that the number of sampling points within 1s of the myoelectric signal is zero in a non-zero corresponding time period of the myoelectric vibration acceleration signal exceeds more than 90%, if the times exceed 2, judging that the working state of the myoelectric acquisition sensor is abnormal, giving an alarm and prompting a patient or medical personnel to adjust the sensing device in time.
For the detection device 3 for electrocardiographic signals, the joint motion acceleration measurement module 4 is used as a first sensing detection unit for auxiliary judgment, and mainly detects joint motion acceleration signals, and the working state judgment flow is shown in fig. 7.
Placing an electrocardio measuring module 3 at the pulse point of the posterior tibial artery at the inner side of the ankle joint, wherein the sampling frequency is set to be 200 Hz; a joint movement acceleration measuring module 4 is placed at the extensor hallucis longus on the front side of the ankle joint, joint movement acceleration signals in movement rehabilitation are detected, and the sampling frequency is set to be 1000 Hz.
And identifying all R waves of the acquired electrocardiosignals, and calculating the heart rate value in real time according to the time interval of the adjacent R waves.
And under the condition that the joint movement acceleration signal is nonzero, calculating a heart rate value, judging that the electrocardiosignal acquisition device works abnormally if the heart rate value is lower than 50 within 3s continuously, giving an alarm, and prompting a patient or medical personnel to adjust the sensing device in time.
And respectively establishing mapping relations between the joint motion acceleration and the motion load and between the heart rate and the motion load through pre-experiments. The exercise load can be divided into different levels through the exercise acceleration, and the different exercise load levels correspond to different heart rate ranges.
For example, the exercise load is divided into three levels of large, medium and small exercise amounts, and the relationship between the heart rate and the exercise load adopts a formula: [ (220-age) -static heart rate ] + P + static heart rate; the value range of P is 0-1, and the static heart rate is acquired through monitoring equipment or input by a user.
The value range of P corresponding to the large amount of exercise is 70-80%, the value range of P corresponding to the medium amount of exercise is 60-70%, and the value range of P corresponding to the small amount of exercise is 50-60%.
The level of the motion load is calculated by collecting joint motion acceleration signals, then the threshold range of the heart rate is estimated, the absolute value of the difference between the heart rate value obtained by actual collection and calculation and the estimated heart rate value is calculated, the percentage of the value and the estimated heart rate value is calculated, if the ratio is more than 40%, the working state of the electrocardio collection sensor is judged to be abnormal, an alarm is given out, and a patient or medical personnel is prompted to adjust the sensing device in time.
And in the motion period T, monitoring the times that the heart rate value in 2s appears in the nonzero corresponding time period of the joint motion acceleration signal and is multiplied compared with the heart rate value in the previous time and the heart rate value is recovered to be normal in the next 2s, if the times exceed 2 times, judging that the working state of the electrocardio acquisition sensor is abnormal, and giving an alarm to prompt a patient or medical personnel to adjust the sensing device in time.
Further, in one embodiment, as shown in fig. 8 and 9:
the second sensing unit is a thermal resistance temperature sensor 7, the temperature measuring module 7 and the muscle sound measuring module 8 are integrated on the same circuit board 9, a plurality of temperature measuring modules 7 can be distributed around the muscle sound measuring module 8, and only an embodiment using one temperature measuring module 7 is illustrated here.
The circuit board 9 and the main control module 5, which integrate the temperature measuring module 7 and the muscle sound measuring module 8, are fixed on the elastic band 6, which is worn on the upper arm, wherein the integrated circuit board 9 is placed at the biceps brachii.
Under the environment temperature lower than 30 ℃, the temperature values acquired under different contact conditions of the integrated sensing device 9 and the biceps brachii muscle are detected, and the critical temperature when the integrated sensing device 9 and the biceps brachii muscle are peeled off is found.
During the exercise rehabilitation, the muscle sound signals and the temperature parameters are monitored in real time, and when the temperature is 36.2-37.2 ℃, the sensing device is judged to be in a normal working state.
In the exercise rehabilitation, when the temperature sensor is lower than the critical temperature within 3s continuously, the muscle sound measuring module is judged to be in a falling state, abnormal alarm is carried out on the working state, and the user is reminded to adjust the sensing detection device in time.
And in the movement period T, calculating the times of the temperature sensor being lower than the critical temperature within 2s, judging that the muscle sound measuring module is in a poor contact state if the times exceed 2 times, and alarming for abnormal working state to remind a user to adjust the sensing detection device in time.
The above is only the preferred embodiment of the present application, and the human body physiological parameter acquisition device includes, but is not limited to, the above physiological parameters, and other parameters such as blood pressure, electrocardiogram, electroencephalogram and the like can also be added; the communication between the human body physiological parameter measuring unit and the main control module and the communication between the main control module and the intelligent terminal include but are not limited to the wired or WIFI communication mode, and other communication modes such as Bluetooth and the like can be used; the parameters for assisting the working state judgment are not only the inertia measurement module and the temperature module, but also other parameters related to the physiological parameter to be measured.
Finally, the above embodiments are only intended to illustrate the technical solutions of the present invention and not to limit the present invention, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions, and all of them should be covered by the claims of the present invention.
Claims (8)
1. A operating condition identification system for recovered physiological parameter sensing detection device of motion, its characterized in that: the system comprises a physiological parameter acquisition module, a main control module, a wireless transmission module, a sensing device working state judgment module, a storage module, an alarm triggering module and an intelligent terminal module;
the physiological parameter acquisition module is sequentially connected with the main control module, the wireless transmission module and the intelligent terminal module;
the physiological parameter acquisition module comprises a target physiological parameter acquisition module and a reference physiological parameter acquisition unit;
the intelligent terminal module comprises a sensing device working state judgment module, a storage module and an alarm triggering module.
2. The system for recognizing the working state of the physical parameter sensing device for motor rehabilitation according to claim 1, wherein:
the physiological parameter acquisition module is used for dynamically acquiring each relevant physiological parameter in the rehabilitation training process of a patient in real time and comprises one or more target physiological parameter acquisition units and one or more corresponding reference physiological parameter acquisition units;
the main control module is used for preprocessing the data of the physiological parameter acquisition module and transmitting the physiological parameters to the intelligent terminal;
the wireless transmission module is connected with the main control module and wirelessly transmits the physiological parameter data processed by the main control module to the intelligent terminal module;
the sensing device working state judging module establishes a relational mapping model for the target physiological parameter and the reference physiological parameter, and calculates and judges the acquisition state of the target physiological parameter according to the acquisition data of the reference physiological parameter, so as to judge the working states of the target physiological parameter sensing device when acquiring the target physiological parameter, including the states of normal working, falling off, displacement and poor contact;
the storage module is used for storing the target physiological parameters and the working state information of the sensing device;
the alarm triggering module is used for identifying the working state of the sensor device and triggering alarm when the working state of the sensor is abnormal;
the intelligent terminal module receives and analyzes the physiological parameter information, stores the physiological parameter and the working state information of the sensing device, displays an abnormal prompt corresponding to the sensing device aiming at the abnormal working state condition of the sensing device, and reminds a user to adjust the abnormal sensing device in time.
3. The system for recognizing the working state of the physical parameter sensing device for motor rehabilitation according to claim 2, wherein: the system collects data of a target physiological parameter sensing detection unit and a reference physiological parameter sensing detection unit thereof, and the reference physiological parameter sensing detection data is used for assisting the judgment of the working state of the target physiological parameter sensing device;
aiming at different working states of the target physiological parameter sensing detection unit, establishing a working state judgment model of the target physiological parameter sensing detection device;
substituting the acquired real-time data of the target physiological parameters and the reference physiological parameters into a working state judgment model;
judging the working state of the target physiological parameter sensing detection device, and storing the working state;
and alarming the abnormal working state, and prompting a user to adjust the target physiological parameter sensing device in time.
4. The system for recognizing the operating condition of the physical parameter sensing device for motor rehabilitation according to claim 3, wherein: the reference physiological parameter sensing detection unit is one or more.
5. The system for recognizing the operating condition of the physical parameter sensing device for motor rehabilitation according to claim 4, wherein: the working state judgment model is used for judging whether the target physiological parameter sensing device is in an abnormal working state of falling off, shifting or poor contact.
6. The system for recognizing the operating condition of the physical parameter sensing device for motor rehabilitation according to claim 5, wherein: the target physiological parameter acquisition module comprises a myoelectricity measurement module, an electrocardio measurement module, a muscle vibration acceleration measurement module and a joint movement acceleration measurement module, and is electrically connected with the main control module through an IIC protocol or an SPI protocol.
7. The system for recognizing the operating condition of the physical parameter sensing device for motor rehabilitation according to claim 6, wherein: the main control module adopts a single chip microcomputer, is provided with a plurality of general IO ports, SPI ports, IIC ports and serial ports, is used for connecting a plurality of physiological parameter detection modules, realizes multi-channel data acquisition through the chip selection function and the timing function of the SPI, is used for receiving the original data of each physiological parameter detection unit, and performs A/D conversion, filtering processing and numerical calculation;
the main control module is in wired connection with the WIFI module through a UART serial port, and the WIFI module is in wireless communication with the intelligent terminal through a TCP/IP network protocol.
8. The system for recognizing the operating condition of the physical parameter sensing device for motor rehabilitation according to claim 7, wherein: the alarm for the abnormal working state is carried out aiming at the working state of the sensing device which is caused by the falling, the displacement or the poor contact of the corresponding sensing device and influences the monitoring of the normal physiological parameters, and the alarm content comprises a specific certain sensing device.
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