A trajectory model of stroke recurrence risk perception and health behavior decision-making

Abstract

The present invention discloses a stroke recurrence risk perception and health behavior decision trajectory model, comprising a patient gown, a posture amplitude monitoring module, a data transmission module, a positioning module, and a data processing module. A plurality of inverted U-shaped elastic units are fixedly connected between two limb amplitude monitoring units, a limb vibration monitoring unit is installed on the connection unit, and the limb vibration monitoring unit senses the height change of the inverted U-shaped elastic unit through a micro-amplitude conversion unit. The present invention uses the posture amplitude monitoring module in combination with the positioning module to set a standard movement interval according to the regional position and the patient's habits, and finds hidden problems by comparing the patient's movement amplitude with the standard movement interval. The inverted U-shaped elastic unit is used to avoid the lack of sensitivity caused by static length. The limb vibration monitoring unit and the micro-amplitude conversion unit overcome the problem between the range ratio and the accuracy, find subtle changes, avoid the deterioration of the situation, and provide reference data for the patient's recurrence risk.

Description

Technical Field

[0001] The present invention relates to the technical field of stroke recurrence prevention, and in particular to a stroke recurrence risk perception and health behavior decision trajectory model. Background Art

[0002] Stroke patients often experience some limb disabilities before relapse. For some patients with stroke, the sequelae after treatment, such as tremors in the hands and feet, and movement disorders, will worsen to varying degrees before relapse. By the time patients notice these movement disorders, it means that there is a problem, and the delay of these problems will cause fatal problems. At the same time, the elderly are old, and some patients also have some language barriers. Therefore, the elderly have limited ability to express themselves, and it is difficult for doctors to observe subtle changes in patients from the outside, which leads to some subtle reactions in the early stage of relapse being ignored, causing the problem to gradually worsen. Summary of the invention

[0003] The purpose of the present invention is to provide a stroke recurrence risk perception and health behavior decision trajectory model to solve the problems raised in the above background technology.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] A stroke recurrence risk perception and health behavior decision trajectory model comprises a patient gown, a posture amplitude monitoring module, a data transmission module, a positioning module, and a data processing module; the number of the posture amplitude monitoring modules is several, and the posture amplitude monitoring module is installed in the limb activity area of ​​the patient gown to detect the limb amplitude of the patient gown; the data transmission module is installed on the patient gown to transmit the data monitored by the posture amplitude monitoring module to the data processing module, and the data processing module compares the monitoring data of the posture amplitude monitoring module with the standard data to perceive the recurrence risk; the positioning module is installed on the patient gown to locate the patient area according to the positioning module, and compare and reference the environment and the parameters of the posture amplitude monitoring module.

[0006] As a further solution of the present invention: the posture amplitude monitoring module includes a fixing unit fixedly connected to the patient gown and a connecting unit connecting the two fixing units, a limb amplitude monitoring unit is installed in the fixing unit, a plurality of inverted U-shaped elastic units are fixedly connected between the two limb amplitude monitoring units, the inverted U-shaped elastic units are fixedly connected by a secondary extension elastic unit, and are used to significantly shorten the distance between the two limb amplitude monitoring units through the inverted U-shaped elastic unit, thereby improving the monitoring sensitivity.

[0007] As a further solution of the present invention: a deformation control unit for limiting the opening angle of the inverted U-shaped elastic unit is slidably connected to the inverted U-shaped elastic unit, and guide rings slidably connected to the inverted U-shaped elastic unit are fixedly connected to both ends of the deformation control unit, and both ends of the inverted U-shaped elastic unit are provided with a diameter-changing unit that cooperates with the guide ring, and the bottom end diameter of the diameter-changing unit is smaller than the top diameter, which is used to limit the opening angle of the inverted U-shaped elastic unit through the deformation control unit to avoid plastic deformation caused by excessive tension.

[0008] As a further solution of the present invention: a limb vibration monitoring unit is installed on the connecting unit, and the limb vibration monitoring unit senses the height change of the inverted U-shaped elastic unit through a micro-amplitude conversion unit. The micro-amplitude conversion unit includes a positioning mechanism and a connecting mechanism slidably connected inside the positioning mechanism, the top of the connecting mechanism is fixedly connected to the peak ground of the inverted U-shaped elastic unit, and the bottom of the connecting mechanism is fixedly connected to the monitoring end of the limb vibration monitoring unit through an elastic mechanism.

[0009] As a further solution of the present invention: a guide tube for guiding the connection point of the detection end of the limb amplitude monitoring unit is installed on the side of the fixing unit close to the inverted U-shaped elastic unit.

[0010] As a further solution of the present invention: the patient gown is provided with a core area restraint unit for improving the key node detection accuracy.

[0011] As a further solution of the present invention, a method for perceiving a stroke recurrence risk and a health behavior decision trajectory model includes:

[0012] S1: The patient wears a hospital gown and is divided into walking area, rehabilitation area, entertainment area and rest area according to the patient's activity area. First, according to the patient's own habits, the multi-limb movement posture parameters of the patient in the walking area, rehabilitation area, entertainment area and rest area are collected through the posture amplitude monitoring module as the standard threshold;

[0013] S2: During the patient's rehabilitation time in the hospital, the posture parameters continuously collected by the posture amplitude monitoring module are transmitted to the data processing module through the data transmission module for processing, and the risk perception results are obtained by comparing the real-time posture parameters with the standard threshold according to the area where the patient is at this time;

[0014] S21: The patient's limb movement amplitude is calculated by the displacement between the two fixed units, the two limb amplitude monitoring units are stretched, and the inverted U-shaped elastic unit undergoes initial elastic deformation. According to the tension detected by the two limb amplitude monitoring units and the installation position of the posture amplitude monitoring module, the patient's limb movement amplitude can be calculated, and a reference value for the recurrence risk is provided according to the limb movement amplitude;

[0015] S22: When the patient's limbs are in motion, the limbs shake slightly, driving the inverted U-shaped elastic unit to expand, causing the wave crest of the inverted U-shaped elastic unit to float up and down, causing relative displacement of the connecting mechanism and the positioning mechanism, and changing the elastic force of the elastic mechanism. The fluctuation range of the inverted U-shaped elastic unit is detected through the limb vibration monitoring unit, and a reference value for the recurrence risk is provided according to the frequency and amplitude of the limb movement shaking;

[0016] S3: Compare the actual movement amplitude of the patient detected by the posture amplitude monitoring module in the rehabilitation area with the standard rehabilitation movement amplitude of the patient, and intervene and correct the patient's rehabilitation movement posture

[0017] Compared with the prior art, the present invention has the following beneficial effects:

[0018] The present invention utilizes a posture amplitude monitoring module in combination with a positioning module to set a standard movement interval according to the regional location and patient habits, discovers hidden problems by comparing the patient's movement amplitude with the standard movement interval, and utilizes an inverted U-shaped elastic unit to avoid the lack of sensitivity caused by static length. The problem between the range ratio and the accuracy is overcome by a limb vibration monitoring unit and a micro-amplitude conversion unit. The patient's body characteristics can be keenly detected, subtle changes can be discovered, the situation can be avoided from worsening, and reference data can be provided for the patient's recurrence risk. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0020] Figure 1 A schematic diagram of the construction of a stroke recurrence risk perception and health behavior decision trajectory model;

[0021] Figure 2 It is a schematic diagram of the main view of a patient gown in a stroke recurrence risk perception and health behavior decision trajectory model;

[0022] Figure 3It is a main view schematic diagram of a posture amplitude monitoring module in a stroke recurrence risk perception and health behavior decision trajectory model;

[0023] Figure 4 It is a schematic diagram of the main cross-section of a posture amplitude monitoring module in a stroke recurrence risk perception and health behavior decision trajectory model;

[0024] Figure 5 It is a schematic diagram of the main view section of a posture amplitude monitoring module in a stroke recurrence risk perception and health behavior decision trajectory model under a motion state;

[0025] Figure 6 It is a schematic diagram of the main cross section of a micro-amplitude conversion unit in a stroke recurrence risk perception and health behavior decision trajectory model;

[0026] In the figure: 1. hospital gown; 11. core area restraint unit; 2. posture amplitude monitoring module; 21. fixing unit; 211. guide tube; 22. connecting unit; 23. inverted U-shaped elastic unit; 231. variable diameter unit; 24. deformation control unit; 241. guide ring; 25. secondary extension elastic unit; 26. limb amplitude monitoring unit; 27. limb vibration monitoring unit; 28. micro-amplitude conversion unit; 281. elastic mechanism; 282. connecting mechanism; 283. positioning mechanism; 3. data transmission module; 4. positioning module; 5. data processing module. DETAILED DESCRIPTION

[0027] Please refer to Figure 1 , Figure 2The present invention includes a patient gown 1, a posture amplitude monitoring module 2, a data transmission module 3, a positioning module 4, and a data processing module 5. The number of the posture amplitude monitoring modules 2 is several. The posture amplitude monitoring module 2 is installed in the limb activity area of ​​the patient gown 1, and is used to detect the limb amplitude of the patient gown 1. The data transmission module 3 is installed on the patient gown 1, and is used to transmit the data monitored by the posture amplitude monitoring module 2 to the data processing module 5. The data processing module 5 compares the monitoring data of the posture amplitude monitoring module 2 with the standard data to perceive the recurrence risk. The positioning module 4 is installed on the patient gown 1, and is used to locate the patient area according to the positioning module 4, and compare and refer to the environment and the parameters of the posture amplitude monitoring module 2; the patient gown 1 is worn on the patient On the body, a number of posture amplitude monitoring modules 2 are fixedly connected to the patient gown 1. The posture amplitude monitoring modules 2 are mainly connected to the movement points and reference points of the limb movement. For example, the posture amplitude monitoring module 2 is fixed on the upper arm and the side of the clothes. At this time, when the arm swings back and forth in the state of movement and walking, the two points of the posture amplitude monitoring module 2 move relative to each other, thereby generating tension. The patient's posture is judged according to the tension value combined with the elastic coefficient of the posture amplitude monitoring module 2 according to the extension distance generated at different positions. These data are input into the computer to generate a model, and then the limb movement habits of the patient in the normal state are compared with the actual limb movement data over time. After subtle abnormalities are found, the body is checked to avoid recurrence, thereby reducing the risk of recurrence.

[0028] Please refer to Figure 4 , Figure 5In the embodiment of the limb movement amplitude detection of the present invention, the posture amplitude monitoring module 2 includes a fixing unit 21 fixedly connected to the patient gown 1 and a connecting unit 22 connecting the two fixing units 21, a limb amplitude monitoring unit 26 is installed in the fixing unit 21, and a plurality of inverted U-shaped elastic units 23 are fixedly connected between the two limb amplitude monitoring units 26. The inverted U-shaped elastic units 23 are fixedly connected by a secondary extension elastic unit 25, which is used to greatly shorten the distance between the two limb amplitude monitoring units 26 through the inverted U-shaped elastic unit 23 to improve the monitoring sensitivity. The inverted U-shaped elastic unit 23 is slidably connected with a plurality of inverted U-shaped elastic units 23 for extending the inverted U-shaped elastic units 25. A deformation control unit 24 for limiting the opening angle of the elastic unit 23, wherein both ends of the deformation control unit 24 are fixedly connected with guide rings 241 which are slidably connected with the inverted U-shaped elastic unit 23, and both ends of the inverted U-shaped elastic unit 23 are provided with variable diameter units 231 which match with the guide rings 241, and the bottom end diameter of the variable diameter unit 231 is smaller than the top end diameter, and is used to limit the opening angle of the inverted U-shaped elastic unit 23 through the deformation control unit 24 to avoid plastic deformation caused by excessive tension, and a guide tube 211 for guiding the connection point of the detection end of the limb amplitude monitoring unit 26 is installed on the side of the fixed unit 21 close to the inverted U-shaped elastic unit 23;The main detection function is performed by the posture amplitude monitoring module 2, which includes a fixing unit 21 and a connecting unit 22. The fixing unit 21 is fixed on the surface of the patient gown 1, and the connecting unit 22 serves as a connection between the two fixing units 21. Due to the inherent characteristics of the elastic structure, in order to ensure the elastic stretching distance and ensure the ductility, the static length of the elastic structure needs to be increased to ensure that the elastic stretching length meets the requirements. Once the static length of the elastic structure is too long, it will appear that when a small amplitude movement occurs, the elastic structure does not undergo elastic deformation. The limb amplitude monitoring unit 26 cannot detect the pulling force, so the elastic structure is composed of a plurality of inverted U-shaped elastic units 23 and secondary extension elastic units 25. The static length can be greatly reduced by the inverted U-shaped elastic unit 23. At the same time, the elasticity of the inverted U-shaped elastic unit 23 can be supplemented by connecting the secondary extension elastic unit 25. The inverted U-shaped elastic unit 23 is limited by the deformation control unit 24. The tension is guided by the guide tube 211, so that the inverted U-shaped elastic unit 23 will not be stretched and deformed to the limit. When the limb moves, the movement point of the limb and the reference point The two fixing units 21 drive the two limb amplitude monitoring units 26 to relatively displace, and the distance between the two limb amplitude monitoring units 26 increases. The elastic coefficient of the inverted U-shaped elastic unit 23 is less than the elastic coefficient of the secondary extension elastic unit 25. At this time, the inverted U-shaped elastic unit 23 is first stretched, and the guide ring 241 slides in the variable diameter unit 231. The diameter of the variable diameter unit 231 gradually increases until the guide ring 241 cannot slide. The shape of the inverted U-shaped elastic unit 23 cannot continue to extend. At this time, when the movement continues, the secondary extension elastic unit 25 When stretching occurs, secondary elastic compensation is performed on the movement position. This method is mainly used to increase the elastic expansion range. At the same time, some small movements can be captured by the inverted U-shaped elastic unit 23. By reducing the length of the inverted U-shaped elastic unit 23, the detection sensitivity of the posture amplitude monitoring module 2 is improved. At this time, the tension value of the limb amplitude monitoring unit 26 combined with the installation position of the posture amplitude monitoring module 2 can be used to determine the movement amplitude of the limb. By comparing the actual movement amplitude with the reference movement amplitude, the subtle changes of the precursors of recurrence of stroke patients can be captured. ;

[0029] Please refer to Figure 4 , Figure 5 , Figure 6In the embodiment of the limb shaking amplitude detection of the present invention, a limb vibration monitoring unit 27 is installed on the connection unit 22, and the limb vibration monitoring unit 27 senses the height change of the inverted U-shaped elastic unit 23 through the micro-amplitude conversion unit 28. The micro-amplitude conversion unit 28 includes a positioning mechanism 283 and a connecting mechanism 282 slidably connected inside the positioning mechanism 283. The top of the connecting mechanism 282 is fixedly connected to the peak ground of the inverted U-shaped elastic unit 23, and the bottom of the connecting mechanism 282 is fixedly connected to the monitoring end of the limb vibration monitoring unit 27 through the elastic mechanism 281. Since the limb amplitude monitoring unit 26 and the limb vibration monitoring unit 27 are both detection mechanisms, the larger the range ratio, the lower the detection accuracy. At this time, the limb amplitude monitoring unit 26 detects the changes of the inverted U-shaped elastic unit 23 and the secondary extension elastic unit 25. Since the movement changes of the inverted U-shaped elastic unit 23 and the secondary extension elastic unit 25 are large, the range ratio of the limb amplitude monitoring unit 26 is large and the accuracy is low. Therefore, the capture of shaking is not accurate. Therefore, based on the reduction of the deformation peak height of the inverted U-shaped elastic unit 23, a limb vibration monitoring unit 27 is set on the connecting unit 22. When the inverted U-shaped elastic unit 23 undergoes a slight stretching change, the peak of the inverted U-shaped elastic unit 23 fluctuates up and down. At this time, the connecting mechanism 282 moves downward in the positioning mechanism 283. When the inverted U-shaped elastic unit 23 is at the highest static point, the elastic mechanism 281 has already undergone elastic deformation. At this time, the slight movement change of the connecting mechanism 282 can shorten the elastic deformation distance of the elastic mechanism 281 and reduce the pulling force. Since the limb vibration monitoring unit 27 does not need to detect a large range, the accuracy of the limb vibration monitoring unit 27 is increased. At this time, when the patient raises his hand or is in a static state, a slight shaking occurs, which is captured by the sensitive limb vibration monitoring unit 27, thereby accurately monitoring the patient's limb movement shaking.

[0030] Please refer to Figure 1In the monitoring application embodiment of the present invention, a core area restraint unit 11 for improving the detection accuracy of key nodes is provided on the patient gown 1; since the patient is located inside the hospital and the environment is complex, a positioning module 4 is installed inside the patient gown 1. The positioning module 4 is mainly used to locate the indoor and outdoor areas of the patient. According to the detection pressure value of the posture amplitude monitoring module 2 corresponding to the positioning area of ​​the positioning module 4, for example, in the walking area, when the patient is walking, the detection amplitude of the posture amplitude monitoring module 2 has a standard, and in the rehabilitation area, when the patient is doing rehabilitation exercises, the actual movement amplitude will increase, and if the data detected in the rehabilitation area is compared with the standard of the walking area, it is inevitable that Abnormal, therefore, the positioning module 4 is used to detect the patient's movement habits in various areas, thereby making the data comparison more valuable. At the same time, when the posture amplitude monitoring module 2 is applied to the rehabilitation area, the patient's movement amplitude can also be detected, thereby detecting the accuracy of the patient's movement posture. The data transmission module 3 inside the posture amplitude monitoring module 2 transmits the data to the data processing module 5 through the network. The data processing module 5 is combined with the area of ​​the positioning module 4 to compare the standard data, thereby judging the patient's abnormal movement state. The core area restraint unit 11 is mainly set to restrain some important areas, so as to further improve the measurement accuracy of the posture amplitude monitoring module 2.

[0031] Workflow: The patient gown 1 is worn on the patient, and a plurality of posture amplitude monitoring modules 2 are fixedly connected to the patient gown 1. The posture amplitude monitoring modules 2 are mainly connected to the movement points and reference points of the limb movement. The fixing unit 21 is fixed to the surface of the patient gown 1, and the connecting unit 22 serves as a connection between the two fixing units 21. Due to the inherent characteristics of the elastic structure, in order to ensure the elastic stretching distance and ensure the ductility, the static length of the elastic structure needs to be increased to ensure that the elastic stretching length meets the requirements. Once the static length of the elastic structure is too long, it will appear that when a small amplitude movement occurs, the elastic structure does not undergo elastic deformation, and the limb amplitude monitoring unit 26 cannot detect the pulling force. Therefore, the elastic structure is composed of a plurality of inverted U-shaped elastic forces. The inverted U-shaped elastic unit 23 is composed of a second extension elastic unit 25. The static length can be greatly reduced by the inverted U-shaped elastic unit 23. At the same time, the inverted U-shaped elastic unit 23 can be connected by the second extension elastic unit 25 to supplement the elasticity of the inverted U-shaped elastic unit 23. The inverted U-shaped elastic unit 23 is limited by the deformation control unit 24, so that the inverted U-shaped elastic unit 23 will not be stretched and deformed to the limit. When the limb moves, the movement point and the reference point of the limb are displaced and changed. The two fixed units 21 drive the two limb amplitude monitoring units 26 to relatively displace, and the distance between the two limb amplitude monitoring units 26 increases. The elastic coefficient of the inverted U-shaped elastic unit 23 is less than the elastic coefficient of the second extension elastic unit 25. At this time, the inverted U-shaped elastic unit 23 is firstly subjected to the stretching action. The guide ring 241 slides in the variable diameter unit 231, and the diameter of the variable diameter unit 231 gradually increases until the guide ring 241 cannot slide. The shape of the inverted U-shaped elastic unit 23 cannot continue to extend. At this time, when the movement continues, the secondary extension elastic unit 25 is stretched, and the movement position is elastically compensated for twice. This method is mainly used to increase the elastic expansion range. At the same time, some small movements can be captured by the inverted U-shaped elastic unit 23. By shortening the length of the inverted U-shaped elastic unit 23, the detection sensitivity of the posture amplitude monitoring module 2 is improved. At this time, the tension value of the limb amplitude monitoring unit 26, combined with the installation position of the posture amplitude monitoring module 2, can determine the movement amplitude of the limb. Compared with the reference movement amplitude, the subtle changes of the precursors of relapse of stroke patients are captured. Since the limb amplitude monitoring unit 26 and the limb vibration monitoring unit 27 are both detection mechanisms, the larger the range ratio, the lower the detection accuracy. At this time, the limb amplitude monitoring unit 26 detects the changes of the inverted U-shaped elastic unit 23 and the secondary extension elastic unit 25. Since the movement changes of the inverted U-shaped elastic unit 23 and the secondary extension elastic unit 25 are large, the range ratio of the limb amplitude monitoring unit 26 is large and the accuracy is low, so the capture of jitter is not accurate. Therefore, based on the reduction of the deformation peak height of the inverted U-shaped elastic unit 23, a limb vibration monitoring unit 27 is set on the connecting unit 22. When the inverted U-shaped elastic unit 23 undergoes a slight stretching change,The wave crest of the inverted U-shaped elastic unit 23 fluctuates up and down. At this time, the connecting mechanism 282 moves downward in the positioning mechanism 283. When the inverted U-shaped elastic unit 23 is at the highest static point, the elastic mechanism 281 has already undergone elastic deformation. At this time, the slight movement change of the connecting mechanism 282 can shorten the elastic deformation distance of the elastic mechanism 281 and reduce the pulling force. Since the limb vibration monitoring unit 27 does not need to detect a large range, the accuracy of the limb vibration monitoring unit 27 is increased. At this time, when the patient raises his hand during movement or in a static state, a slight shaking occurs, which is captured by the sensitive limb vibration monitoring unit 27, thereby accurately monitoring the patient's limb movement shaking. The device can accurately collect the behavior of stroke patients and judge whether there is an abnormality based on the comparison of the behavioral movements with the standard behavioral movements.

[0032] What is described above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A stroke recurrence risk perception and health behavior decision trajectory model, characterized by: The device comprises a patient gown (1), a posture amplitude monitoring module (2), a data transmission module (3), a positioning module (4), and a data processing module (5); the number of the posture amplitude monitoring modules (2) is several, and the posture amplitude monitoring modules (2) are installed in the limb activity area of ​​the patient gown (1) for detecting the limb amplitude of the patient gown (1); the data transmission module (3) is installed on the patient gown (1) for transmitting the data monitored by the posture amplitude monitoring module (2) to the data processing module (5), and the data processing module (5) compares the monitoring data of the posture amplitude monitoring module (2) with the standard data to perceive the recurrence risk; the positioning module (4) is installed on the patient gown (1) for locating the patient area according to the positioning module (4), and performing comparison and reference based on the environment and the parameters of the posture amplitude monitoring module (2); The posture amplitude monitoring module (2) comprises a fixing unit (21) fixedly connected to the patient gown (1) and a connecting unit (22) connecting two of the fixing units (21); a limb amplitude monitoring unit (26) is installed in the fixing unit (21); a plurality of inverted U-shaped elastic units (23) are fixedly connected between the two limb amplitude monitoring units (26); the inverted U-shaped elastic units (23) are fixedly connected via a secondary extension elastic unit (25), and are used to significantly shorten the distance between the two limb amplitude monitoring units (26) via the inverted U-shaped elastic unit (23), thereby improving the monitoring sensitivity; The inverted U-shaped elastic unit (23) is slidably connected to a deformation control unit (24) for limiting the opening angle of the inverted U-shaped elastic unit (23); guide rings (241) slidably connected to the inverted U-shaped elastic unit (23) are fixedly connected at both ends of the deformation control unit (24); both ends of the inverted U-shaped elastic unit (23) are provided with diameter-changing units (231) matched with the guide rings (241); the bottom diameter of the diameter-changing unit (231) is smaller than the top diameter, and is used to limit the opening angle of the inverted U-shaped elastic unit (23) through the deformation control unit (24), so as to avoid plastic deformation caused by excessive tension; A limb vibration monitoring unit (27) is installed on the connection unit (22), and the limb vibration monitoring unit (27) senses the height change of the inverted U-shaped elastic unit (23) through a micro-amplitude conversion unit (28), and the micro-amplitude conversion unit (28) comprises a positioning mechanism (283) and a connection mechanism (282) slidably connected inside the positioning mechanism (283), the top of the connection mechanism (282) is fixedly connected to the ground at the peak of the inverted U-shaped elastic unit (23), and the bottom surface of the connection mechanism (282) is fixedly connected to the monitoring end of the limb vibration monitoring unit (27) through an elastic mechanism (281).

2. A stroke recurrence risk perception and health behavior decision trajectory model according to claim 1, characterized in that: A guide tube (211) for guiding a connection point of a detection end of the limb amplitude monitoring unit (26) is installed on a side of the fixing unit (21) close to the inverted U-shaped elastic force unit (23).

3. The stroke recurrence risk perception and health behavior decision trajectory model according to claim 1, characterized in that: The patient gown (1) is provided with a core area restraint unit (11) for improving the key node detection accuracy.

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