Wearable device and tank scale-based terrorism degree evaluation and rehabilitation system and method

Abstract

The invention relates to the field of wearable equipment and medical care monitoring, in particular to a terrorism degree evaluation and rehabilitation system and method based on wearable equipment and a tank scale, and the system comprises a motion monitoring sensor, a signal acquisition module, a signal processing module, a survey table based on the tank scale and a data processing module. According to the evaluation system, the rehabilitation system and the rehabilitation method, information in two aspects is mainly collected, on one hand, a Tama scoring result, a pain disaster scale result and the like are obtained through investigation according to a conventional motion terrorism Tama scoring table, a pain disaster scale, a hospital anxiety and depression scale, a social support evaluation scale and the like; on the other hand, the real motion condition data of the patient is obtained according to the motion monitoring system. Therefore, misjudgment caused by inaccurate expression of the patient only on the basis of the survey table can be avoided.

Description

Technical Field

[0001] This invention relates to wearable devices, specifically to wearable devices for monitoring a patient's mobility after knee replacement surgery, and to a system and method for assessing and rehabilitating the degree of mobility using the wearable device. Background Technology

[0002] The diagnosis of postoperative kinesiophobia relies primarily on standardized psychological scale assessments.

[0003] The Tampa Scale for Kinesiophobia (TSK) was developed by Kori et al., with Hu Wen providing Chinese localization and adaptation. The scale consists of 17 items, using a 4-point Likert scale, where 1 represents "completely disagree" and 4 represents "completely agree." Items 4, 8, 12, and 16 are reverse-scored, with a total score ranging from 17 to 68. The original authors stipulated that a total score >37 is sufficient for a diagnosis of kinesiophobia, with higher total scores indicating a higher level of kinesiophobia. The scale demonstrates good reliability and validity, with a Cronbach's α of 0.778 and a test-retest reliability of 0.860.

[0004] The Pain Catastrophizing Scale was developed using Sullivan et al. The Pain Catastrophizing Scale (PCS) was developed in 1995. This study adopted the PCS developed by Yap et al., scholars from Hong Kong, China. This version was translated into Chinese in 2008. The scale comprises three dimensions: rumination (items 8, 9, 10, 11), grandiosity (items 6, 7, 13), and helplessness (items 1, 2, 3, 4, 5, 12), totaling 13 items. A 5-point rating scale from 0 (absolutely none) to 4 (frequently occurring) is used, with a total score of 52. A total score of ≥38 indicates a level of catastrophic pain. The overall Cronbach's α coefficient of this scale is 0.927, and the Cronbach's α coefficients for each dimension are: rumination 0.809, helplessness 0.839, and grandiosity 0.768, demonstrating good reliability and validity.

[0005] However, in practical applications, survey forms may not accurately reflect users' actual intentions. This is due to several factors. Firstly, users vary greatly in their knowledge and comprehension abilities. Some users can truly understand the questions in the questionnaire and provide appropriate answers that match their actual situation, while some users with poor comprehension often fail to grasp the meaning of the questions and give answers that do not reflect reality. Secondly, some users, due to their own psychological factors or cognitive limitations, are unwilling to admit that they have certain concerns. Therefore, even if the form is well-designed, it may not yield accurate results. Only by truly understanding the patient's fear of agitation can a better rehabilitation plan be provided, and the current questionnaire-based fear assessment is insufficient to achieve this goal. Summary of the Invention

[0006] To address the aforementioned issues, this invention aims to provide a system, rehabilitation system, and method for assessing and rehabilitating the degree of acrophobia that can both match real-world movement data from patients with acrophobia and be combined with information from survey forms. This system is used to determine whether a patient has acrophobia and to provide corresponding rehabilitation plans and adjustments to the dosage of analgesics.

[0007] Specifically, on the one hand, this invention provides a system for assessing the degree of agitation based on a wearable device and the Tampa scale. The system includes: a motion monitoring sensor, a signal acquisition module, a signal processing module, a survey form based on the Tampa scale, and a data processing module. The motion monitoring sensor includes at least a first motion monitor and a second motion monitor. The first motion monitor is worn on the ankle of the target leg of the knee replacement patient to measure the motion data of the patient's lower leg, and the second motion monitor is worn on the patient's torso to measure the motion data of the patient's torso.

[0008] The survey form was filled out by the patient and entered into the data by the doctor;

[0009] The signal acquisition module receives motion monitoring data measured by the first motion monitor and the second motion monitor, as well as patient survey data obtained from a survey form based on the Tampa Scale.

[0010] The signal processing module is used to calculate the terror movement parameter score using motion monitoring data measured by the first motion monitor and the second motion monitor;

[0011] The data processing module uses the received survey data to calculate the fear survey result score, and inputs the fear survey result score and the motion parameter score into the fear comprehensive judgment matrix P. Based on the period corresponding to each column of the fear comprehensive judgment matrix P, the fear degree assessment vector is obtained respectively. The fear degree assessment is performed based on the vector distance between the fear degree assessment vector of each period and the vector center determined based on the existing patients in the corresponding period.

[0012] Furthermore, the data processing module is used to adjust the parameters of different parameters in the comprehensive fear assessment matrix P based on the optimization condition that the ratio of the average Euclidean distance between the fear assessment vector of diagnosed patients and the center of the vector is minimized to the average Euclidean distance between the fear assessment vector of non-fear patients and the center of the vector is minimized, thereby obtaining the optimal comprehensive fear assessment matrix P.

[0013] , where λ ij The weighting coefficient for the j-th period and the i-th item in the terrorism investigation results. For the weighting coefficients of the j-th period and the k-th term in the motion parameter scoring, any matrix element T ij This indicates the corresponding terrorism survey result score, matrix element S. kj This represents the corresponding motion parameter score.

[0014] Based on the projection of each column of the patient's phobia comprehensive judgment matrix P into the M+N dimensional space and the vector center O of all identified phobia patients in the corresponding time period. j Is the distance less than the threshold for assessing the level of terrorism? The system determines the conditions for a terrorism warning during the corresponding period. If the conditions are less than the threshold, a terrorism warning is issued; otherwise, it is considered normal.

[0015] Furthermore, the threshold for assessing the level of terrorism. The following method is used to determine the agitation diagnosis: For all patients with agitation disorder in the training data, calculate their agitation comprehensive judgment matrix P. Process each column of the agitation comprehensive judgment matrix P for all patients with agitation disorder separately, and form a multi-dimensional vector for each column to form the agitation diagnosis vector for that period: , λ ij The weighting coefficient for the j-th period and the i-th item in the terrorism investigation results. Let be the weighting coefficient for the j-th period and the k-th item in the total score of motor parameters, where i represents the item number of the phobia survey result score, j represents the period number of the judgment, and k represents the number of items in the motor parameter score. For each patient, the phobia severity assessment vector for each period is mapped to an M+N dimensional space. For each period's phobia severity assessment vector, the vector center O for all identified phobia patients in this space is calculated.j ,

[0016] For each period, calculate the average distance between the fear assessment vector and the vector center for each patient. Calculate the distance D between the phobia severity assessment vector and the vector center O for each non-phobia patient. 2j The average value of (P,O) With average distance ratio The minimum value is used as the optimization condition. Different parameters in the comprehensive terrorism judgment matrix P are adjusted to obtain the vector center of the terrorism severity assessment vector for each period and the minimum average distance ratio. Determine the average distance between the assessment vector and the vector center to assess the level of terrorism in the current situation. The average distance D2j(P,O) between the vector assessing the degree of phobia in non-aphobic patients and the vector center O. Then, the threshold for assessing the level of terrorism during that period was calculated. .

[0017] Furthermore, the first motion monitor and the second motion monitor are respectively corresponding fitness trackers.

[0018] Furthermore, the survey forms based on the Tampa scale include one or more of the following: the Tampa rating scale for kinephobic disorder, the Pain Catastrophizing Scale, the Hospital Anxiety and Depression Scale, and the Social Support Rating Scale.

[0019] On the other hand, the present invention provides a rehabilitation system based on a wearable device and the Tampa scale, characterized in that it includes the assessment system described in claim 1 and a rehabilitation guidance module, wherein the rehabilitation guidance module provides a corresponding rehabilitation plan based on the results of the phobia assessment.

[0020] On the other hand, the present invention provides a method for processing akinesis data based on wearable devices and the Tampa scale, characterized in that the method includes: Step (1): Wear a first motion monitor on the ankle of the target leg of several target patients and use it to measure the motion data of the patient's lower leg; Step (2): Wear a second motion monitor on the trunk of several target patients and use it to measure the motion data of the patient's trunk; (3) Receive motion monitoring data measured by the first motion monitor and the second motion monitor respectively; (4) Receive survey data on apoptosis filled out by patients; (5) Calculate the motion parameter score for kinephobia using the motion monitoring data obtained from the first and second motion monitors; (6) Calculate the terrorism investigation result score using the received survey data, and input the terrorism investigation result score and the motion parameter score into the terrorism comprehensive judgment matrix P. Based on the period corresponding to each column of the terrorism comprehensive judgment matrix P, obtain the terrorism degree assessment vector respectively. (7) Based on the projection of each column of the patient's phobia comprehensive judgment matrix P into the M+N dimensional space and the vector center O of all identified phobia patients in that period. j Is the distance less than the threshold for assessing the level of terrorism? The system determines the corresponding conditions for triggering agitation. If the number of columns is less than the threshold but exceeds the predetermined value, an agitation warning is issued; otherwise, it is considered normal.

[0021] Further, the method includes: using the minimum ratio of the average Euclidean distance between the phobia severity assessment vector and the vector center of the diagnosed patients and the average Euclidean distance between the phobia severity assessment vector and the vector center of the non-phobia patients as the optimization condition, adjusting the parameters of different parameters in the phobia comprehensive judgment matrix P to obtain the optimal phobia comprehensive judgment matrix P, wherein the vector center is calculated based on the phobia severity assessment vector of the diagnosed patients.

[0022] , where λ ij The weighting coefficient for the j-th period and the i-th item in the terrorism investigation results. For any matrix element T, the weighting coefficients of the j-th period and the k-th item in the total score of motion parameters are given. ij This indicates the corresponding terrorism survey result score, matrix element S. kj This indicates the corresponding motor parameter score for kinephobia.

[0023] Furthermore, the method also includes providing patients with different levels of rehabilitation programs based on the degree of fear at different stages.

[0024] Furthermore, the survey forms included one or more of the following: the Tampa rating scale for kinesthetic phobia, the Pain Catastrophizing Scale, the Hospital Anxiety and Depression Scale, and the Social Support Rating Scale.

[0025] Beneficial effects

[0026] The kinesia assessment system based on wearable devices and the Tampa Scale of this invention collects data on movement patterns related to kinesia, such as the number of movements of the affected lower leg and trunk, the amplitude of a single movement of the affected lower leg, and the rest time after movement of the affected lower leg. This data, combined with data from questionnaires such as the Tampa Scale, is used to assign weights to different movement and survey items based on clinically confirmed kinesia by doctors. This allows for the creation of a more realistic model reflecting kinesia, avoiding inaccuracies in survey data due to patient psychological factors, and also preventing inaccurate assessments due to complete reliance on movement data caused by interference with movement data. Ultimately, this provides a more accurate rehabilitation plan. Attached Figure Description

[0027] Figure 1 This is a schematic flowchart of the method of the present invention. Detailed Implementation

[0028] like Figure 1 The diagram shown is a schematic flowchart of the terrorism assessment method of the present invention.

[0029] The determination method of this invention mainly collects two types of information. On the one hand, it collects Tampa score results and pain catastrophizing scale results obtained from surveys based on conventional Tampa score scales for kinesthetic phobia, pain catastrophizing scales, hospital anxiety and depression scales, social support rating scales, etc. On the other hand, it collects data on the patient's actual movement status obtained from a motion monitoring system.

[0030] Regarding the first aspect, TKA patients admitted between January 2024 and June 2025 were selected as the study subjects. The changes in patients' kinesia levels were investigated at 3 days (T1), 1 week (T2), 2 weeks (T3), and 1 month (T4) after total knee arthroplasty.

[0031] For each patient's survey data, a matrix was constructed. Specifically, the survey data tables obtained 3 days, 1 week, 2 weeks, and 1 month post-surgery were used to form matrix T. Each column of matrix T represents a quantified value of the survey result at a given time point. The matrix has 4 columns, each representing the survey results at a different time. Different options for the survey results correspond to different normalized scores.

[0032] Specifically, the option with the strongest kinesthetic tendency in the table is assigned a score of 1, the option with the weakest kinesthetic tendency is assigned a score of 0 or a preset minimum value, and the scores for the intermediate options are determined proportionally. For example, if there are 5 options, the scores are set to 1, 0.75, 0.5, 0.25, and 0.

[0033] For example, regarding the two sample questions on the Tampa rating scale for Kosophobia.

[0034] 1. I'm afraid I'll hurt myself if I exercise.

[0035] A. Completely disagree B. Disagree C. Agree D. Completely agree

[0036] 2. If I try to overcome my fear to exercise, the pain will worsen.

[0037] A. Completely disagree B. Disagree C. Agree D. Completely agree

[0038] For the table above, option D is set to the highest score, and option A is set to the lowest score.

[0039] For example, for Hospital Anxiety and Depression Scale

[0040] 1. I feel nervous (or distressed).

[0041] A. Almost all the time B. Most of the time C. Sometimes D. Never at all

[0042] In the table above, option A is set to have the highest score, and option D is set to have the lowest score.

[0043] More preferably, the questionnaire adds information on the patient's age and education level, dividing patients into adolescents, middle-aged, early-aged, and elderly groups. The older the age, the higher the fear score. An education level option is added, divided into primary school, junior high school, high school, and undergraduate and above. The higher the education level, the lower the fear score, and different scoring options are set for each.

[0044] Based on this, the scoring matrix for the terrorism investigation results is represented as follows: any matrix element T ij This represents the score value in the i-th row and j-th column. Each row represents the score of the same item at different times, and each column represents the score of different scoring items at the same time.

[0045] Regarding the second aspect, multiple motion monitoring sensors are used and worn on the upper and lower sides of the patient's knee joint, respectively. Preferably, at least two high-precision motion monitoring wristbands are included. The first motion monitoring wristband is worn on the patient's ankle, and the second motion monitoring wristband is worn on the patient's torso or thigh. For patients undergoing bilateral knee replacement surgery, two first motion monitoring wristbands are worn.

[0046] Data from the first motion monitoring sensor and the second motion monitoring sensor are collected respectively. The first motion monitoring sensor is used to measure the number of movements of the patient's lower leg (for example, a change in displacement with a pause of more than 1 second after movement is considered as one movement to determine the number of movements) and the average amplitude of movement. , The parameters are: position vector after the i-th movement, movement speed, and movement pause after a single movement (e.g., greater than 5 cm); the number of movements and movement speed of the patient's trunk are measured using a second motion monitoring sensor; based on the number of movements, average movement amplitude, and movement speed of the patient's lower leg measured by the first motion monitoring sensor and the number of movements and movement speed of the patient's trunk measured by the second motion monitoring sensor, a normalized score is calculated for the difference between the number of movements of the patient's trunk and the number of movements of the affected lower leg (the larger the difference, the more likely it is to cause fear); a normalized score is calculated for the difference between the trunk movement speed and the lower leg movement speed (the larger the difference, the more likely it is to cause fear); the average number of consecutive movements of the lower leg is calculated (the fewer the number of movements, the more likely it is to cause fear); the pause time after a single movement of the lower leg is calculated; and based on this, the movement continuity score of the lower leg is calculated. The reason for measuring the number of trunk movements is that everyone's exercise habits are different. Some people are active, while others are not. However, if only the trunk moves while the lower legs do not move, the greater the contrast, the stronger the fear of movement in the lower legs. Only by correlating and comparing the number of trunk movements with the number of lower leg movements can we better determine whether the patient's low number of movements is due to being inactive or due to fear of movement.

[0047] Taking average range of motion as an example, the average range of motion of the lower leg was measured for all knee replacement patients over the first 3 days. The average range of motion data was normalized, with the range of motion of the patient with the largest average range of motion set to 1 (e.g., the largest average range of motion is 20cm). The average range of motion of the lower leg of other patients over the first 3 days was normalized relative to this value to obtain the corresponding range of motion. Scoring values ​​were assigned to different ranges of motion; for example, 20-15cm represented the lowest level of fear (0 points), 0-5cm represented the highest level of fear (1 point), 5-10cm was 0.75 points, and 10-15cm was 0.5 points.

[0048] The degree of fear of movement was calculated by the number of times the patient's lower leg moved, the average speed of movement, etc. The fewer the number of times the lower leg moved, the higher the fear of movement score; the lower the average speed of movement, the higher the fear of movement score; and the longer the pause time after the lower leg movement, the higher the degree of fear of movement.

[0049] More preferably, a motion score based on physician observation is added. For example, the physician measures the knee flexion angle. For 3 days post-surgery, if the knee flexion reaches 80 degrees, the motion score is considered 0; 60 degrees is 0.25; 40 degrees is 0.5; and 20 degrees is 1. For 4-7 days post-surgery, a knee flexion of 90 degrees is optimal (0 points), and for 8-14 days post-surgery, 110 degrees is optimal. For 3 days post-surgery, a single walking distance of 8 meters with a walking aid is optimal, and less than 2 meters is worst. The physician-observed motion score is added to the motion parameter scoring matrix below as an auxiliary tool for monitoring motion scores.

[0050] The scores for the above-mentioned items were statistically analyzed during the first 3 days, 4-7 days, 8-14 days, and 15-30 days of wearing the device, respectively, to construct a matrix of motor parameter scores for the fear of movement assessment.

[0051] any matrix element S kj This represents the score value in the k-th row and j-th column. Each row represents the average score value of the same score over different time periods, and each column represents the score of different score items within the same time period. N represents the number of motion parameter score items.

[0052] The terrorism investigation results scoring matrix and the motion parameter scoring matrix are concatenated using their weighting coefficients to obtain the weighted concatenated terrorism comprehensive judgment matrix P:

[0053] For each column of the concatenated matrix, it is combined into a multi-dimensional vector to form an assessment vector for the degree of terrorism at different times: , λ ij The weighting coefficient for the j-th period and the i-th item in the terrorism investigation results. The weighting coefficients for the j-th period and the k-th term in the motion parameter scoring.

[0054] One hundred patients who completed the survey were selected as the training dataset. Of these, 70 were diagnosed with akinesis after clinical observation by a doctor, and 30 were diagnosed without akinesis after clinical observation by a doctor. The survey data was used to determine akinesis assessment scores and total motor parameter scores, respectively, and then substituted into the matrix described above. Weighted concatenation yielded akinesis severity assessment vector corresponding to the four stages. An additional 20 patients who completed the survey were selected as the test dataset. Of these, 15 were diagnosed with akinesis after clinical observation by a doctor, and 5 were diagnosed as normal after clinical observation by a doctor.

[0055] For each patient, the agitation severity assessment vector for each period is mapped onto an M+N dimensional space. For each period's agitation severity assessment vector, the vector center O for all identified agitation patients in this space is calculated. j The vector center is the vector that minimizes the average distance to the vectors assessing the level of fear in all patients. Where q represents the patient sequence number and j represents the period sequence number. This represents the vector representing the level of fear assessment for patient q at period j. Let be the center vector for period j.

[0056] Taking the first period as an example, the distance between the multidimensional vector of all patients and the vector center of the patients with acrophobia is calculated. The optimization condition is to maximize the ratio between the average distance between the vector and the vector center of all 70 diagnosed patients and the average distance between the vector and the vector center of all 30 undiagnosed patients. The parameters of different terms in the matrix are adjusted.

[0057] First, calculate the vector center of the fear assessment vector for all confirmed cases. Taking the vector center of the first period as an example, let the vector center be... , is an M+N dimensional vector.

[0058] For each confirmed patient, calculate the distance between the vector of their level of fear assessment and the vector center. Calculate the distance D between the fear assessment vector and the vector center O for 70 patients. 11 The average value of (P,O) Calculate the distance D between the phobia severity assessment vector and the vector center O for 30 non-aphobic patients. 21 The average value of (P,O) ,by (For the first period) The minimum value of ) is used as the optimization condition. Different parameters in the comprehensive judgment matrix P of fear and terrorism are adjusted to obtain the vector centers O1, O2, O3, and O4 of the fear and terrorism severity assessment vectors at different times, as well as the optimal similarity difference ratio between those with and without the disease. The fear and terrorism severity assessment threshold under this optimal ratio is then calculated. .

[0059] For any new patient at any given time, calculate whether the distance between the fear assessment vector and the vector center is less than the aforementioned threshold.

[0060] The accuracy of the terrorism-related comprehensive judgment matrix P was tested using a test dataset. The test results showed that the accuracy rate based on the obtained terrorism-related comprehensive judgment matrix P and the corresponding thresholds can reach 95%, which has clinical application value.

[0061] For different periods, after the assessment is completed, rehabilitation medication is provided to the patient according to the following plan based on whether there is acrophobia: (1.1) For patients who are determined to be normal 3 days after surgery, rehabilitation is carried out according to the following plan from day 4 to day 7: Oxycodone 0.1g, twice a day, flexion and extension of the knee joint 1 hour later, parecoxib 40mg, twice a day, walking on the ground with a walking aid for 5-8m, and applying ice at 10℃ for 30 minutes after exercise; (1.2) For patients who are determined to be acrophobia 3 days after surgery, rehabilitation is carried out according to the following plan from day 4 to day 7: Increase the dosage by 10-30% on the basis of standard medication, walk on the ground with a walking aid for 5-10m, divided into two sessions, applying ice at 10℃ for 30 minutes after exercise, and assigning a specialist physician to monitor and guide the patient's movement; (2.1) For the second period, for patients who are determined to be normal one week after surgery, rehabilitation medication is provided to the patient according to the following plan from day 8 to day 14: Oxycodone: 0.1g, twice a day; Celecoxib: 200mg, twice a day; walk 50-80m on the ground with a walking aid; apply ice at 10℃ for 30 minutes after exercise.

[0062] (2.2) For the second period, when patients are diagnosed with acrophobia one week after surgery, rehabilitation medication shall be provided to patients on days 8-14 according to the following plan: increase the dosage by 10-30% on the basis of standard medication, walk 50-100m on the ground with a walking aid, in two sessions, apply ice at 10℃ for 30 minutes after exercise, and assign a specialist physician to monitor and guide the patient’s movement.

[0063] (3.1) For patients who are determined to be normal two weeks after surgery, rehabilitation medication shall be provided to the patients according to the following regimen from day 15 to day 30: Day 15 to day 22: Oxycodone: 0.1g, twice a day; Celecoxib: 200mg, twice a day; walk 200m on the ground with a walking aid; apply ice at 10℃ for 30 minutes after exercise; Day 23 to day 30: Buprenorphine transdermal patch: 5mg / 7 days; Celecoxib: 200mg, twice a day; walk 300m on the ground with a walking aid; apply ice at 10℃ for 30 minutes after exercise.

[0064] (3.2) For patients diagnosed with apoptosis two weeks post-surgery, rehabilitation medication shall be administered according to the following regimen from day 15 to day 30: Day 15-25: Oxycodone: 0.11-0.13g, twice daily; Celecoxib: 220-260mg, twice daily; Walking on the ground with a assisted walker for 150-300m (adjusted according to the patient's adaptability, the same below), divided into two sessions; Apply ice at 10℃ for 30 minutes after exercise; Assign a specialist physician to monitor and guide the patient's movement status. Day 26-30: Buprenorphine transdermal patch: 5mg / 7 days; Celecoxib: 200mg, twice daily; Walking on the ground with a assisted walker for 250-400m, divided into two sessions; Apply ice at 10℃ for 30 minutes after exercise; Assign a specialist physician to monitor and guide the patient's movement status.

[0065] This approach can provide better pain relief for patients with acrophobia, reduce their anxiety, facilitate their rehabilitation training, and provide them with additional medical monitoring.

[0066] The above descriptions are merely embodiments of this application, and common knowledge regarding specific structures and characteristics in the solutions is not described in detail here. It will be apparent to those skilled in the art that this application is not limited to the details of the above exemplary embodiments, and that this application can be implemented in other specific forms without departing from the spirit or essential characteristics of this application. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of this application is defined by the appended claims rather than the foregoing description. Therefore, it is intended that all variations falling within the meaning and scope of equivalents of the claims be included within this application. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A system for assessing the degree of fearfulness based on a wearable device and the Tampa Scale, characterized in that, The system comprises a motion monitoring sensor, a signal acquisition module, a signal processing module, a Tampa scale-based questionnaire and a data processing module, wherein the motion monitoring sensor comprises at least a first motion monitor and a second motion monitor, the first motion monitor is worn at the ankle of the target leg of a knee replacement patient to measure the motion data of the lower leg of the patient, and the second motion monitor is worn on the torso of the patient to measure the motion data of the torso of the patient. The questionnaire is filled out by the patient and input by the doctor. The signal acquisition module receives the motion monitoring data measured by the first motion monitor and the second motion monitor, respectively, and the survey data of the patient obtained based on the Tampa scale-based questionnaire. The signal processing module is configured to calculate the kinesiophobia motion parameter score by using the motion monitoring data measured by the first motion monitor and the second motion monitor. The data processing module calculates the kinesiophobia survey result score by using the received survey data, inputs the kinesiophobia survey result score and the motion parameter score into a kinesiophobia comprehensive judgment matrix P, obtains a kinesiophobia degree evaluation vector corresponding to each column of the kinesiophobia comprehensive judgment matrix P, and evaluates the kinesiophobia degree based on the vector distance between the kinesiophobia degree evaluation vector and the vector center determined based on the existing patients in the corresponding period.

2. The wearable device and Tampa Scale based fear level assessment system of claim 1, wherein, The data processing module is configured to adjust the parameters in the kinesiophobia comprehensive judgment matrix P based on the optimization condition that the ratio of the average Euclidean distance between the kinesiophobia degree evaluation vector of the diagnosed patients and the vector center to the average Euclidean distance between the kinesiophobia degree evaluation vector of the non-kinesiophobia patients and the vector center is minimum, to obtain the optimal kinesiophobia comprehensive judgment matrix P. ， wherein λ ij is a weighting factor for the jth period and the ith item of the terror motion survey result score, is a weighting factor for the jth period and the kth item of the motion parameter score, and any one of the matrix elements T ij represents the corresponding terror motion survey result score value, and the matrix element S kj represents the corresponding motion parameter score value, whether the distance between the projection of each column of the patient-based phobic movement syndrome determination matrix P in the M+N dimensional space and the vector center O of all determined phobic movement syndrome patients in the corresponding period in the space is less than a phobic movement degree evaluation threshold j to make a phobic movement early warning condition determination for the corresponding period, and if less than the threshold, issue a phobic movement early warning, otherwise determine as normal.​ 3.The wearable device and Tampa Scale based fear level assessment system of claim 1, wherein, fear-motion degree evaluation threshold value is determined based on the following manner: for all patients with fear-motion in the training data, calculate their fear-motion comprehensive decision matrix P, process each column in the fear-motion comprehensive decision matrix P of all patients with fear-motion respectively, form a multi-dimensional vector for each column, and form a fear-motion decision vector for the period: , λ ij is the weighting coefficient of the jth period and the ith item of the fear-motion survey result score, is the weighting coefficient of the jth period and the kth item in the motion parameter total score, i represents the item number sequence of the fear-motion survey result score, j represents the sequence number of the decision period, and k represents the item number of the motion parameter score. For each patient, respectively map the fear-motion degree evaluation vector of each period to an M+N-dimensional space, and respectively calculate the vector center O j of all determined patients with fear-motion in the space for the fear-motion degree evaluation vector of each period. For each period, calculate the average distance between the fear severity assessment vector and the vector center for each fear patient. Calculate the fear severity assessment vector and vector center O for each non-fear patient. j Distance D 2j The average value of (P,O) With average distance ratio The minimum value is used as the optimization condition. Different parameters in the comprehensive terrorism judgment matrix P are adjusted to obtain the vector center of the terrorism severity assessment vector for each period and the minimum average distance ratio. Determine the average distance between the assessment vector and the vector center to assess the level of terrorism in the current situation. The vector and vector center O of the phobia assessment of non-phobic patients j Distance D 2j The average value of (P,O) Then, the threshold for assessing the level of terrorism during that period was calculated. . 4.The wearable device and Tampa Scale based fear level assessment system of claim 1, wherein, The first motion monitor and the second motion monitor are respective motion bracelets.

5. The wearable device and Tampa Scale based fear level assessment system of claim 1, wherein, The Tampa scale-based questionnaire comprises one or more of the kinesiophobia Tampa score table, the pain catastrophizing scale, the hospital anxiety and depression scale, and the social support rating scale.

6. A rehabilitation system based on a wearable device and the Tampa Scale, characterized by, The method comprises:

7. A method for processing data of emetophobia based on a wearable device and a Tampa Scale, characterized by, Step (1), wearing a first motion monitor at the ankle of the target leg of a plurality of target patients to measure the motion data of the lower leg of the patient; Step (2), wearing a second motion monitor on the torso of the plurality of target patients to measure the motion data of the torso of the patient; (3) receiving the motion monitoring data measured by the first motion monitor and the second motion monitor, respectively; (4) receiving the survey data of the kinesiophobia filled out by the patient; (5) calculating the kinesiophobia motion parameter score by using the motion monitoring data measured by the first motion monitor and the second motion monitor; (6) calculating the kinesiophobia survey result score by using the received survey data, inputting the kinesiophobia survey result score and the motion parameter score into a kinesiophobia comprehensive judgment matrix P, and obtaining a kinesiophobia degree evaluation vector corresponding to each column of the kinesiophobia comprehensive judgment matrix P. ​ (7) whether the distance between the projection of each column in the patient-based phobic movement comprehensive judgment matrix P in the M+N-dimensional space and the vector center O of all determined phobic patients in this period is less than the phobic degree evaluation threshold j to make a corresponding phobia early warning condition judgment, and if the number of columns less than the threshold value exceeds a predetermined value, a phobia early warning is issued, otherwise it is considered normal.​ 8. The method of claim 7, wherein the wearable device and the Tampa Scale based cathexia data processing method is characterized by, The method comprises: adjusting parameters of different parameters in a phobic comprehensive judgment matrix P based on a ratio of an average Euclidean distance of phobic degree evaluation vector and vector center of a diagnosed phobic patient to an average Euclidean distance of phobic degree evaluation vector and vector center of a non-phobic patient being minimum as an optimization condition, to obtain an optimal phobic comprehensive judgment matrix P, wherein the vector center is obtained based on phobic degree evaluation vector of the diagnosed patient, , wherein λ ij is the weighting coefficient of the jth period and the ith item of the terror motion survey result score, is the weighting coefficient of the jth period and the kth item of the motion parameter total score, and any one matrix element T ij represents the corresponding terror motion survey result score value, and the matrix element S kj represents the corresponding terror motion parameter score value.

9. The method of claim 8, wherein the wearable device is a smartwatch. The method further comprises providing different degrees of rehabilitation programs for patients based on different degrees of phobia.

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