Muscle strength evaluation instrument for stroke patient

Abstract

The invention discloses a muscle strength evaluation instrument for a stroke patient, and particularly relates to the technical field of muscle strength evaluation, and the instrument comprises a standard data matching module, a data acquisition module, a data analysis module, a training scheme matching module, a data reevaluation module and a database. According to the method, multiple parameters of multiple areas of the lesion side and the non-lesion side of the cerebral apoplexy patient are collected to carry out diversified evaluation on the muscle force evaluation coincidence coefficient, so that the accuracy of the muscle force evaluation coincidence coefficient of the patient is ensured, and a reliable reference value is provided for matching of a training scheme of a subsequent patient; by analyzing the muscle strength evaluation coincidence coefficient after the patient is trained, whether the muscle strength training scheme of the patient is matched or not is judged.

Description

Technical Field

[0001] The present invention relates to the technical field of muscle strength evaluation, and particularly to a muscle strength evaluation instrument for stroke patients. Background Art

[0002] Clinically, the evaluation of the limb muscle strength of stroke patients is highly subjective. Coupled with the changes in muscle strength during the acute phase, it is impossible to detect such changes in a timely and accurate manner. Moreover, there are differences in the evaluation criteria for each person, and it is impossible to objectively evaluate the existing muscle strength level of patients based on data. Therefore, it is necessary to study the muscle strength evaluation technology for stroke patients.

[0003] The prior art, such as the muscle strength evaluation method, system, and computer-readable storage medium disclosed in the invention patent application with the publication number of CN114343648B, includes: obtaining muscle strength evaluation data collected by an intelligent mobile device; preprocessing the muscle strength evaluation data to obtain preprocessed muscle strength evaluation data; extracting the characteristic information of the preprocessed muscle strength evaluation data; and inputting the characteristic information of the preprocessed muscle strength evaluation data into a pre-trained muscle strength automatic evaluation model, and outputting a muscle strength evaluation result by the pre-trained muscle strength automatic evaluation model. The technical solution of this application can obtain relatively objective and accurate muscle strength evaluation results in a convenient way, which helps to reduce the burden on medical staff and relieve the pressure on medical resources. It is also more helpful to break through the deficiencies of existing telemedicine and promote the development of the Internet medical industry.

[0004] Combined with the above scheme, it is found that in the prior art, for the muscle strength evaluation of stroke patients, on the one hand, the muscle strength evaluation of the affected side and the non-affected side of the patient is ignored. In most cases of stroke patients, there are significant differences in the muscle strength parameters of the affected side compared with those of healthy people. However, there are also great uncertainties in the muscle strength parameters of the non-affected side. If the muscle strength parameters of the non-affected side are ignored in the evaluation, it will lead to inaccuracies in the actual muscle strength evaluation results of the patient, resulting in inappropriate subsequent training programs for the patient, slow physical recovery speed of the patient, and treatment effects that are difficult to meet the actual needs. On the other hand, the prior art has limitations in the acquisition area of the muscle strength parameters of patients, ignoring the use of multi-parameter and multi-region methods to comprehensively evaluate the muscle strength of patients in a diversified manner, resulting in unscientific muscle strength evaluation results for patients, reducing the reliability of the muscle strength evaluation results of patients, increasing risks for the subsequent treatment effects of patients, and being difficult to meet the actual needs of the muscle strength evaluation of patients. Summary of the Invention

[0005] The purpose of the present invention is to provide a muscle strength evaluation instrument for stroke patients, which solves the problems in the background art.

[0006] To solve the above technical problems, the present invention provides a muscle strength evaluation instrument for stroke patients, and the method includes: a standard data matching module, which extracts the age and gender of the patient from a database, matches the standard muscle strength parameters of each region of the patient from the database, extracts various body data of the patient from the database, calculates the body abnormality coefficient of the patient, and corrects the standard muscle strength parameters of each region of the patient.

[0007] A data acquisition module, which is used to obtain the muscle strength parameters of each region on the affected side of the patient and the muscle strength parameters of each region on the non-affected side of the patient.

[0008] A data analysis module, which calculates the muscle strength compliance index of the affected side of the patient based on the muscle strength parameters of each region on the affected side of the patient, calculates the muscle strength compliance index of the non-affected side of the patient based on the muscle strength parameters of each region on the non-affected side of the patient, and calculates the muscle strength evaluation compliance coefficient of the patient based on the muscle strength compliance index of the affected side of the patient and the muscle strength compliance index of the non-affected side of the patient.

[0009] A training plan matching module, which evaluates the muscle strength evaluation compliance level of the patient based on the muscle strength evaluation compliance coefficient of the patient and matches the muscle strength training plan of the patient.

[0010] A data re-evaluation module, which collects the muscle strength parameters of each region on the affected side of the patient after training and the muscle strength parameters of each region on the non-affected side of the patient after training, calculates the muscle strength evaluation compliance coefficient of the patient after training, evaluates the muscle strength evaluation compliance level of the patient after training, calculates the effectiveness coefficient of the muscle strength training plan of the patient, and determines whether the muscle strength training plan of the patient is matched.

[0011] Compared with the prior art, the advantages of the present invention are: First, the present invention adopts matching the standard muscle strength parameters according to the age and gender of the patient, and at the same time calculates the body abnormality coefficient of the patient according to various body data of the patient to correct the standard muscle strength parameters of each region of the patient, realizing the scientific accuracy of the corrected standard muscle strength parameters of the patient and providing a reliable reference value for the subsequent muscle strength evaluation compliance coefficient of the patient.

[0012] Second, the present invention conducts a diversified evaluation of the muscle strength evaluation compliance coefficient by collecting multi-parameters of multiple regions on the affected side and the non-affected side of stroke patients, ensuring the accuracy of the muscle strength evaluation compliance coefficient of the patient and providing a scientific reference value for the subsequent matching of the patient's training plan.

[0013] Third, the present invention analyzes the muscle strength evaluation compliance coefficient of the patient after training to determine whether the muscle strength training plan of the patient is matched, thereby realizing timely adjustment of the muscle strength training plan of the patient and improving the efficiency of the patient's muscle strength recovery. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required for the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0015] Figure 1 It is a schematic structural diagram of the instrument of the present invention. Specific embodiments

[0016] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0017] Refer to Figure 1 As shown, a muscle strength evaluation instrument for stroke patients, the instrument includes: a standard data matching module, a data acquisition module, a data analysis module, a training plan matching module, a data re-evaluation module, and a database.

[0018] It should be noted that in a specific embodiment, the standard data matching module is connected to the data acquisition module, the data acquisition module is connected to the data analysis module, the data analysis module is connected to the training plan matching module, the training plan matching module is connected to the data re-evaluation module, and the database is connected to the standard data matching module, the data analysis module, the training plan matching module, and the data re-evaluation module.

[0019] It should be noted that in a specific embodiment, the database is used to store the age, gender, and various body data of the patient, store the muscle strength parameters of each tested person for matching, the standard interval of the patient's systolic blood pressure, the influence weight of the patient's unit number of illnesses, the influence weight of the patient's unit illness duration, the influence weight of each area of the patient, the weight factor of the muscle strength compliance index of the patient's affected side, the weight factor of the muscle strength compliance index of the patient's non-affected side, the muscle strength evaluation compliance intervals, the judgment threshold of the effect coefficient of the patient's muscle strength training plan, and the patient's muscle strength training plans.

[0020] The standard data matching module extracts the age and gender of the patient from the database, matches the standard muscle strength parameters of each area of the patient from the database, extracts the various body data of the patient from the database, calculates the body abnormality coefficient of the patient, and corrects the standard muscle strength parameters of each area of the patient.

[0021] In a specific embodiment of the present invention, the specific analysis method for obtaining the standard muscle strength parameters of each region of the patient through matching is as follows: Based on the age and gender of the patient, first use the gender of the patient as an index to match each tester of the gender type to be matched from the database. Then, use the age of the patient as an index to perform age range matching among the testers of the gender type to be matched to obtain the matched testers.

[0022] Based on the matched testers, extract the muscle strength parameters of each region of the matched testers from the database, including the muscle strength Z of each region ji , the muscle tension A of each region ji and the joint movement angle S of each region ji , where j = 1, 2, 3, j represents the number of each region, i = 1, 2,..., m, i represents the number of each matched tester, and m represents the total number of matched testers.

[0023] Through the formula: Calculate the standard muscle strength Z of each region of the patient j ′. According to the calculation method of the standard muscle strength of each region of the patient, process the muscle tension A of each region of the matched testers ji and the joint movement angle S of each region ji to obtain the standard muscle tension A of each region of the patient j ′ and the standard joint movement angle S of each region j ′.

[0024] Sum up the standard muscle strength Z of each region of the patient j ′, the standard muscle tension A of each region j ′ and the standard joint movement angle S of each region j ′ to obtain the standard muscle strength parameters of each region of the patient.

[0025] In a specific embodiment of the present invention, the specific analysis method for calculating the body abnormality coefficient of the patient and correcting the standard muscle strength parameters of each region of the patient is as follows: Based on the body parameters of the patient extracted from the database, including: the number of illnesses N, the duration of illness T, the systolic blood pressure H and the diastolic blood pressure L, through the formula: Calculate the abnormal judgment value (QH) of the patient's systolic blood pressure, (H - , H + ) represents the standard interval of the patient's systolic blood pressure extracted from the database.

[0026] According to the calculation method of the abnormal judgment value of the patient's systolic blood pressure, process the diastolic blood pressure of the patient to obtain the abnormal judgment value (QL) of the patient's diastolic blood pressure.

[0027] It should be noted that in a specific embodiment, the calculation and analysis method for the abnormal judgment value (QL) of the diastolic blood pressure of the patient is as follows: Through the formula: The abnormal judgment value (QL) of the diastolic blood pressure of the patient is calculated, where (L - , L + ) represents the standard interval of the diastolic blood pressure of the patient extracted from the database.

[0028] Through the formula: The physical abnormality coefficient ρ of the patient is calculated, where λ 1 represents the influence weight of the number of times of illness per unit of the patient extracted from the database, and λ 2 represents the influence weight of the duration of illness per unit of the patient extracted from the database, and e represents the natural constant.

[0029] If ρ belongs to the first interval of physical abnormality, the correction factor is set to ε′ = ε 1 .

[0030] If ρ belongs to the second interval of physical abnormality, the correction factor is set to ε′ = ε 2 .

[0031] If ρ belongs to the third interval of physical abnormality, the correction factor is set to ε′ = ε 3 , and the correction factor ε′ is obtained.

[0032] It should be noted that in a specific embodiment, each interval of physical abnormality is artificially set by a technician according to the physical abnormality coefficients of each historical patient and the actual muscle strength treatment effect, and is stored in the database.

[0033] It should be noted that in a specific embodiment, for example, if the physical abnormality coefficient of the patient belongs to the first interval of physical abnormality, the correction factor is set to ε′ = 0.95; if the physical abnormality coefficient of the patient belongs to the second interval of physical abnormality, the correction factor is set to ε′ = 0.90; if the physical abnormality coefficient of the patient belongs to the third interval of physical abnormality, the correction factor is set to ε′ = 0.88.

[0034] Based on the standard muscle strength Z j ′ of each region of the patient, through the formula: The corrected standard muscle strength of each region of the patient is calculated According to the calculation method of the corrected standard muscle strength of each region of the patient, the standard muscle tension A j ′ of each region of the patient and the standard joint movement angle S j ′ of each region are processed to obtain the corrected standard muscle tension of each region of the patient and the standard joint movement angle

[0035] It should be noted that in a specific embodiment, for example, the standard muscle strength Z of the patient's hand area 3 ′ = 40 kg, the patient's body abnormality coefficient belongs to the first body abnormality interval, and the correction factor ε′ = 0.95. Then, through the formula: Calculate the corrected standard muscle strength of the patient's hand area

[0036] Summarize the corrected standard muscle strength, standard muscle tension, and standard joint movement angle of each area of the patient to obtain the corrected standard muscle strength parameters of each area of the patient.

[0037] The present invention matches the standard muscle strength parameters according to the patient's age and gender, and at the same time calculates the patient's body abnormality coefficient based on the patient's various body data to correct the standard muscle strength parameters of the patient, achieving the scientific accuracy of the corrected standard muscle strength parameters of the patient and providing a reliable reference value for the subsequent muscle strength evaluation compliance coefficient of the patient.

[0038] The data acquisition module is used to obtain the muscle strength parameters of each area on the diseased side and the muscle strength parameters of each area on the non-diseased side of the patient.

[0039] In a specific embodiment of the present invention, the obtaining of the muscle strength parameters of each area on the diseased side and the muscle strength parameters of each area on the non-diseased side of the patient is specifically as follows: Collect the muscle strength parameters of each area on the diseased side of the patient through various sensors, including the muscle strength parameters of the shoulder area, the muscle strength parameters of the leg area, and the muscle strength parameters of the hand area.

[0040] Collect the muscle strength parameters of each area on the non-diseased side of the patient through various sensors, including the muscle strength parameters of the shoulder area, the muscle strength parameters of the leg area, and the muscle strength parameters of the hand area.

[0041] The data analysis module calculates the muscle strength compliance index of the patient's diseased side based on the muscle strength parameters of each area on the diseased side of the patient, calculates the muscle strength compliance index of the patient's non-diseased side based on the muscle strength parameters of each area on the non-diseased side of the patient, and calculates the muscle strength evaluation compliance coefficient of the patient based on the muscle strength compliance index of the patient's diseased side and the muscle strength compliance index of the patient's non-diseased side.

[0042] In a specific embodiment of the present invention, the specific analysis method for calculating the muscle strength compliance index of the patient's diseased side is as follows: Based on the muscle strength of each area on the diseased side of the patient Muscle tension And joint movement angle Through the formula: Calculate the muscle strength compliance coefficient η of each region on the diseased side of the patient. j .

[0043] Through the formula: Calculate the muscle strength compliance index η′ of the diseased side of the patient, where μ j represents the influence weight of each region of the patient extracted from the database.

[0044] In a specific embodiment of the present invention, when calculating the muscle strength compliance index of the non-diseased side of the patient, the specific analysis method is as follows: According to the calculation method of the muscle strength compliance index of the diseased side of the patient, for the muscle strength muscle tension and joint movement angle of each region on the non-diseased side of the patient are processed to obtain the muscle strength compliance index ω′ of the non-diseased side of the patient.

[0045] In a specific embodiment of the present invention, when calculating the muscle strength evaluation compliance coefficient of the patient, the specific analysis method is as follows: Based on the muscle strength compliance index η′ of the diseased side of the patient and the muscle strength compliance index ω′ of the non-diseased side of the patient, through the formula: Calculate the muscle strength evaluation compliance coefficient α of the patient, where τ1 represents the weight factor of the muscle strength compliance index of the diseased side of the patient, and τ2 represents the weight factor of the muscle strength compliance index of the non-diseased side of the patient.

[0046] The training plan matching module evaluates the muscle strength evaluation compliance level of the patient based on the muscle strength evaluation compliance coefficient of the patient and matches the muscle strength training plan of the patient.

[0047] In a specific embodiment of the present invention, when evaluating the muscle strength evaluation compliance level of the patient and matching the muscle strength training plan of the patient, the specific analysis method is as follows: Based on the muscle strength evaluation compliance coefficient α of the patient, if α is in the first muscle strength evaluation compliance interval, it is determined that the muscle strength evaluation compliance level of the patient is high compliance.

[0048] If α is in the second muscle strength evaluation compliance interval, it is determined that the muscle strength evaluation compliance level of the patient is medium compliance.

[0049] If α is in the third muscle strength evaluation compliance interval, it is determined that the muscle strength evaluation compliance level of the patient is low compliance, and the muscle strength evaluation compliance level of the patient is obtained.

[0050] If the muscle strength evaluation compliance level of the patient is high compliance, extract the first muscle strength training plan of the patient from the database.

[0051] If the muscle strength evaluation compliance level of the patient is medium compliance, extract the second muscle strength training plan of the patient from the database.

[0052] If the muscle strength evaluation of the patient meets the low compliance level, the third muscle strength training plan of the patient is extracted from the database, and the muscle strength training plan of the patient is obtained by matching.

[0053] It should be noted that in a specific embodiment, the first muscle strength training plan is, for example: adopting low-intensity isometric contraction training, using low-speed isokinetic muscle strength training equipment to ensure that the muscle gradually increases the load under controllable conditions, and increasing the muscle strength of the patient through simple functional movements such as standing and sitting down.

[0054] The second muscle strength training plan is, for example: adopting progressive load training, combined with a gait trainer or gait analysis equipment to improve the gait function of the patient, performing local strengthening training, and conducting special training on a single muscle group of the upper or lower limbs to improve the strength of specific muscles.

[0055] The third muscle strength training plan is, for example: through a functional electrical stimulation system, stimulating the muscle to perform low-frequency contractions, avoiding muscle atrophy, increasing muscle activation, strengthening joint flexibility and range of motion, and preventing joint stiffness and functional limitation.

[0056] The present invention conducts a diversified evaluation of the muscle strength evaluation compliance coefficient by collecting multi-parameters of multiple regions on the affected side and non-affected side of stroke patients, ensuring the accuracy of the muscle strength evaluation compliance coefficient of the patient, and providing a scientific reference value for the subsequent matching of the patient's training plan.

[0057] The data re-evaluation module collects the muscle strength parameters of each region on the affected side and the muscle strength parameters of each region on the non-affected side after the patient's training, calculates the muscle strength evaluation compliance coefficient after the patient's training, evaluates the muscle strength evaluation compliance level after the patient's training, calculates the effect coefficient of the patient's muscle strength training plan, and determines whether the patient's muscle strength training plan is matched.

[0058] In a specific embodiment of the present invention, the calculation of the muscle strength evaluation compliance coefficient after the patient's training and the evaluation of the muscle strength evaluation compliance level after the patient's training are specifically analyzed as follows: by collecting the muscle strength parameters of each region on the affected side after the patient's training and the muscle strength parameters of the non-affected side after the training, and according to the calculation method of the muscle strength compliance index on the affected side of the patient, the muscle strength parameters of each region on the affected side after the patient's training and the muscle strength parameters of each region on the non-affected side are analyzed to obtain the muscle strength compliance index on the affected side and the muscle strength compliance index on the non-affected side after the patient's training.

[0059] According to the calculation method of the muscle strength evaluation compliance coefficient of the patient, the muscle strength compliance index on the affected side and the muscle strength compliance index on the non-affected side after the patient's training are analyzed to obtain the muscle strength evaluation compliance coefficient β after the patient's training.

[0060] According to the evaluation method of the level that meets the muscle strength evaluation of the patient, analyze the compliance coefficient of the muscle strength evaluation after the patient's training, and obtain the level that meets the muscle strength evaluation after the patient's training.

[0061] In a specific embodiment of the present invention, calculating the effectiveness coefficient of the patient's muscle strength training plan and determining whether the patient's muscle strength training plan matches. The specific analysis method is as follows: Based on the compliance coefficient α of the patient's muscle strength evaluation and the compliance coefficient β of the muscle strength evaluation after the patient's training, through the formula: Calculate to obtain the effectiveness coefficient of the patient's muscle strength training plan

[0062] If Then it is determined that the patient's muscle strength training plan does not match, where χ represents the judgment threshold of the effectiveness coefficient of the patient's muscle strength training plan extracted from the database.

[0063] If Then it is determined that the patient's muscle strength training plan matches.

[0064] The present invention analyzes the compliance coefficient of the muscle strength evaluation after the patient's training, realizes the judgment of whether the patient's muscle strength training plan matches, thereby realizes the timely adjustment of the patient's muscle strength training plan, and improves the efficiency of the patient's muscle strength recovery.

[0065] The above content is only an example and illustration of the concept of the present invention. Those skilled in the art of this technology make various modifications or supplements or use similar methods to replace the specific embodiments described, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all belong to the protection scope of the present invention.

Claims

1. A muscle strength assessment instrument for stroke patients, characterized in that: The instrument comprises: The standard data matching module extracts the patient's age and gender from the database, matches the standard muscle strength parameters of each area of ​​the patient from the database, extracts the patient's body data from the database, calculates the patient's body abnormality coefficient, and corrects the standard muscle strength parameters of each area of ​​the patient; A data acquisition module is used to obtain various muscle strength parameters of each area on the patient's lesion side and various muscle strength parameters of each area on the non-lesion side; The data analysis module calculates the muscle strength compliance index of the patient's diseased side based on the muscle strength parameters of each region on the patient's diseased side, calculates the muscle strength compliance index of the patient's non-lesioned side based on the muscle strength parameters of each region on the patient's non-lesioned side, and calculates the patient's muscle strength assessment compliance coefficient based on the muscle strength compliance index of the patient's diseased side and the muscle strength compliance index of the non-lesioned side; The training program matching module evaluates the patient's muscle strength assessment compliance level based on the patient's muscle strength assessment compliance coefficient and matches the patient's muscle strength training program; The data re-evaluation module collects the muscle strength parameters of each area on the diseased side and the muscle strength parameters of each area on the non-lesioned side of the patient after training, calculates the compliance coefficient of the patient's muscle strength assessment after training, evaluates the compliance level of the patient's muscle strength assessment after training, calculates the effectiveness coefficient of the patient's muscle strength training program, and determines whether the patient's muscle strength training program matches.

2. The muscle strength evaluation instrument for stroke patients according to claim 1, characterized in that: The matching obtains the standard muscle strength parameters of each area of ​​the patient, and the specific analysis method is as follows: Based on the age and gender of the patient, firstly, the gender of the patient is used as an index to match the test persons of the gender type to be matched from the database, and then the age of the patient is used as an index to match the age range of the test persons of the gender type to be matched to obtain the matched test persons; Based on the matched testers, the muscle strength parameters of each region of each matched tester are extracted from the database, including the muscle strength Z of each region. ji , muscle tension in each area A ji and the joint motion angle S of each area ji , where j = 1, 2, 3, j represents the number of each area, i = 1, 2, ..., m, i represents the number of each matched tester, and m represents the total number of matched testers; By formula: Calculate the standard muscle strength Z of each area of ​​the patient j ', according to the calculation method of the standard muscle strength of each area of ​​the patient, the muscle tension A of each area of ​​each matching tester is calculated. ji and the joint motion angle S of each area ji Processing is performed to obtain the standard muscle tension A of each area of ​​the patient j ′ and the standard joint motion angle S of each area j ′; The standard muscle strength Z of each area of ​​the patient j '、Standard muscle tension A in each area j ′ and the standard joint motion angle S of each area j ’ and summarize to obtain the standard muscle strength parameters of each area of ​​the patient.

3. The muscle strength evaluation instrument for stroke patients according to claim 1, characterized in that: The specific analysis method for calculating the patient's body abnormality coefficient and correcting the standard muscle strength parameters of each area of ​​the patient is as follows: Based on the patient's physical parameters extracted from the database, including: number of illnesses N, duration of illness T, systolic blood pressure H and diastolic blood pressure L, the formula is: Calculate the abnormal judgment value of the patient's systolic blood pressure (QH), (H - ,H + ) represents the standard interval of systolic blood pressure of patients extracted from the database; According to the calculation method of the abnormal judgment value of the patient's systolic blood pressure, the patient's diastolic blood pressure is processed to obtain the abnormal judgment value (QL) of the patient's diastolic blood pressure; By formula: The patient's physical abnormality coefficient ρ is calculated, where λ1 represents the influence weight of the patient's unit illness times extracted from the database, λ2 represents the influence weight of the patient's unit illness duration extracted from the database, and e represents a natural constant; If ρ belongs to the first interval of physical abnormality, the correction factor is set to ε′=ε1; If ρ belongs to the second interval of physical abnormality, the correction factor is set to ε′=ε2; If ρ belongs to the third interval of physical abnormality, the correction factor is set to ε′=ε3, and the correction factor ε′ is obtained; Based on the patient's standard muscle strength Z in each area j ′, through the formula: Calculate the corrected standard muscle strength of each area of ​​the patient According to the revised calculation method of the standard muscle strength of each area of ​​the patient, the standard muscle tension A of each area of ​​the patient is calculated. j ′ and the standard joint motion angle S of each area j ' is processed to obtain the corrected standard muscle tension of each area of ​​the patient And the standard joint motion angles in each area The corrected standard muscle strength of each region of the patient, the standard muscle tension of each region and the standard joint motion angle of each region are summarized to obtain the corrected standard muscle strength parameters of each region of the patient.

4. The muscle strength evaluation instrument for stroke patients according to claim 1, characterized in that: The method of obtaining the muscle strength parameters of each region on the lesion side of the patient and the muscle strength parameters of each region on the non-lesion side is specifically as follows: The muscle strength parameters of various regions of the patient's affected side are collected through various sensors, including the muscle strength parameters of the shoulder region, the muscle strength parameters of the leg region, and the muscle strength parameters of the hand region; Various sensors are used to collect muscle strength parameters of various areas of the patient's non-lesion side, including muscle strength parameters of the shoulder area, muscle strength parameters of the leg area, and muscle strength parameters of the hand area.

5. The muscle strength evaluation instrument for stroke patients according to claim 4, characterized in that: The specific analysis method for calculating the muscle strength compliance index of the patient's lesion side is as follows: Based on the muscle strength of each area on the patient's affected side Muscle tone and joint motion angle By formula: The muscle strength compliance coefficient η of each area on the lesion side of the patient is calculated j ; By formula: The muscle strength index η′ of the patient's lesion side is calculated, where μ j Represents the influence weight of each region of the patient extracted from the database.

6. The muscle strength evaluation instrument for stroke patients according to claim 5, characterized in that: The specific analysis method for calculating the muscle strength compliance index of the non-lesion side of the patient is as follows: According to the calculation method of the muscle strength index on the patient's lesion side, the muscle strength of each area on the patient's non-lesion side was evaluated. Muscle tone and joint motion angle After processing, the muscle strength compliance index ω′ of the patient's non-lesion side is obtained.

7. The muscle strength evaluation instrument for stroke patients according to claim 6, characterized in that: The specific analysis method for calculating the patient's muscle strength assessment compliance coefficient is as follows: Based on the muscle strength compliance index η' of the patient's lesion side and the muscle strength compliance index ω' of the patient's non-lesion side, the formula is: The patient's muscle strength assessment compliance coefficient α is calculated, where τ1 represents the weight factor of the muscle strength compliance index on the patient's lesion side, and τ2 represents the weight factor of the muscle strength compliance index on the patient's non-lesion side.

8. The muscle strength evaluation instrument for stroke patients according to claim 7, characterized in that: The muscle strength assessment of the patient meets the level and matches the patient's muscle strength training program. The specific analysis method is as follows: Based on the patient's muscle strength assessment compliance coefficient α, if α is in the first interval of muscle strength assessment compliance, the patient's muscle strength assessment compliance level is determined to be high compliance; If α is in the second interval of muscle strength assessment compliance, the patient's muscle strength assessment compliance level is determined to be medium compliance; If α is in the third interval of muscle strength assessment compliance, the patient's muscle strength assessment compliance level is determined to be low compliance, and the patient's muscle strength assessment compliance level is obtained; If the patient's muscle strength assessment compliance level is high, then extract the patient's first muscle strength training program from the database; If the patient's muscle strength assessment compliance level is medium compliance, then extract the patient's second muscle strength training program from the database; If the patient's muscle strength assessment compliance level is low, the patient's muscle strength training third plan is extracted from the database to match the patient's muscle strength training plan.

9. The muscle strength evaluation instrument for stroke patients according to claim 1, characterized in that: The specific analysis method for calculating the compliance coefficient of the patient's muscle strength assessment after training and evaluating the compliance level of the patient's muscle strength assessment after training is as follows: By collecting various muscle strength parameters of each area of ​​the patient's lesion side after training and various muscle strength parameters of the non-lesion side after training, and analyzing various muscle strength parameters of each area of ​​the patient's lesion side after training and various muscle strength parameters of each area of ​​the non-lesion side according to the calculation method of the muscle strength compliance index of the patient's lesion side, the muscle strength compliance index of the patient's lesion side after training and the muscle strength compliance index of the non-lesion side are obtained; According to the calculation method of the patient's muscle strength evaluation compliance coefficient, the muscle strength compliance index of the lesion side and the muscle strength compliance index of the non-lesion side after the patient's training were analyzed to obtain the patient's muscle strength evaluation compliance coefficient β after training; According to the evaluation method of the patient's muscle strength assessment compliance level, the patient's muscle strength assessment compliance coefficient after training is analyzed to obtain the patient's muscle strength assessment compliance level after training.

10. The muscle strength evaluation instrument for stroke patients according to claim 9, characterized in that: The specific analysis method for calculating the effect coefficient of the patient's muscle strength training program and judging whether the patient's muscle strength training program matches is as follows: Based on the patient's muscle strength assessment compliance coefficient α and the patient's muscle strength assessment compliance coefficient β after training, the formula is: Calculate the effect coefficient of the patient's muscle strength training program like Then it is determined that the patient's muscle strength training program does not match, where χ represents the judgment threshold of the effect coefficient of the patient's muscle strength training program extracted from the database; like The patient's muscle strength training program is determined to be matched.

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