Ankle movement control disorder tracing assistance system and method

By using an electromyography (EMG) acquisition system and a main control device to process surface EMG signals of ankle joint motor control disorders, a source-tracing auxiliary report is generated, solving the problems of accuracy and efficiency in the diagnosis of ankle joint motor control disorders and achieving efficient source-tracing diagnostic assistance.

CN114847979BActive Publication Date: 2026-03-17SUZHOU MUNICIPAL HOSPITAL
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Patent Information

Application Number
CN202210671126.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-06-15
Publication Date
2026-03-17
Estimated Expiration
2042-06-15

AI Technical Summary

Technical Problem

The accuracy and efficiency of doctors in diagnosing ankle joint motor control disorders need to be improved.

Method used

A traceability assistance system, including an electromyography (EMG) acquisition system, a database, and a main control device, is used to generate a traceability assistance report to assist in the diagnosis of ankle joint motor control disorders by acquiring, processing, and evaluating surface EMG signal data.

Benefits of technology

It improves the accuracy and efficiency of tracing and diagnosing ankle joint motor control disorders, and provides detailed muscle status assessment and judgment.

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Abstract

This invention discloses a source-tracing auxiliary system and method for ankle joint motor control disorders. The source-tracing auxiliary system includes an electromyography (EMG) acquisition system, a database, and a main control device. The main control device further includes an EMG processing and feature value extraction module and a muscle state assessment module. The source-tracing auxiliary method includes the following steps: acquiring surface EMG signals of the ankle-related muscles during active dorsiflexion and plantar flexion, static standing, and passive stretch reflex; extracting relevant feature values ​​from the acquired surface EMG signals; autonomously and accurately classifying the state types of each ankle-related muscle based on the feature values, and generating a report. This invention can assess and determine the state type of the ankle-related muscles on the affected side and generate a source-tracing auxiliary report, providing assistance for the source-tracing diagnosis of ankle joint motor control disorders and improving the accuracy and efficiency of source-tracing diagnosis of ankle joint motor control disorders.
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Description

Technical Field

[0001] This invention relates to a source-finding assistive system and method for ankle joint motor control disorders. Background Technology

[0002] The ankle joint, also known as the talar-calf joint, is formed by the articular surfaces of the lower ends of the tibia and fibula and the trochlea of ​​the talus. When patients experience ankle joint motor control disorders, it is necessary to trace the underlying muscles of the foot and ankle for diagnosis. However, the accuracy and efficiency of physicians in diagnosing ankle joint motor control disorders need to be improved. Summary of the Invention

[0003] To assist doctors in tracing the origin of ankle joint motor control disorders, this invention provides a tracing assistance system for ankle joint motor control disorders, which includes an electromyography acquisition system, a database, and a main control device.

[0004] The main control device includes: an electromyography processing and feature extraction module, and a muscle state assessment module;

[0005] The electromyography (EMG) acquisition system collects surface EMG signal data of muscles related to the foot and ankle.

[0006] The database stores surface electromyographic signal data of foot and ankle-related muscles acquired by the electromyography acquisition system.

[0007] The main control device retrieves surface electromyographic signal data of foot and ankle-related muscles from the database;

[0008] The electromyography processing and feature extraction module processes the surface electromyography signal data of the foot and ankle related muscles and extracts the surface electromyography signal feature values ​​of the foot and ankle related muscles.

[0009] The muscle state assessment module evaluates the surface electromyographic signal feature values ​​of the extracted foot and ankle-related muscles to determine the state type of the foot and ankle-related muscles.

[0010] For details of the traceability assistance system, please refer to the embodiment.

[0011] This invention also provides a method for assisting in the tracing of the root cause of ankle joint motor control disorders. Using the aforementioned tracing assistance system, it provides aid for the tracing and diagnosis of ankle joint motor control disorders; the method includes the following steps:

[0012] 1) Collect surface electromyographic signals of the foot and ankle muscles during active dorsiflexion and plantar flexion, static standing, and passive stretch reflex;

[0013] 2) Extract relevant feature values ​​(average amplitude, clonus frequency, etc.) from the collected surface electromyography signals;

[0014] 3) Based on the feature values, the system can automatically and accurately classify the state types of various related muscles in the foot and ankle, and generate a report.

[0015] For details of the source tracing assistance method, please refer to the embodiment.

[0016] The advantages and beneficial effects of this invention are as follows: It provides a system and method for tracing the source of ankle joint movement control disorders. This invention can assess and determine the state type of the muscles related to the affected foot and ankle, and generate a tracing assistance report, which can assist in the tracing diagnosis of ankle joint movement control disorders and improve the accuracy and efficiency of the tracing diagnosis of ankle joint movement control disorders. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the traceability assistance system of the present invention. Detailed Implementation

[0018] The specific embodiments of the present invention will be further described below with reference to the accompanying drawings and examples. The following examples are only used to more clearly illustrate the technical solutions of the present invention and should not be construed as limiting the scope of protection of the present invention.

[0019] The specific technical solution of this invention is as follows:

[0020] This invention provides an auxiliary method for tracing the origin of ankle joint motor control disorders, employing a tracing assistance system to aid in the tracing and diagnosis of ankle joint motor control disorders;

[0021] like Figure 1 As shown, the traceability assistance system includes an electromyography (EMG) acquisition system, a database, a main control device, and a printer;

[0022] The electromyography (EMG) acquisition system includes surface EMG electrodes attached to the same foot and ankle-related muscles on the affected and healthy lower legs of the patient, for acquiring surface EMG signal data of the affected foot and ankle-related muscles and the same foot and ankle-related muscles on the healthy side.

[0023] The database stores surface electromyographic signal data of the affected ankle-related muscles and the same ankle-related muscles on the healthy side, collected by the electromyography acquisition system.

[0024] The main control device retrieves surface electromyography (EMG) signal data of the muscles related to the affected foot and ankle and the same muscles related to the healthy foot and ankle from the database; the main control device also includes: an EMG processing and feature value extraction module, a muscle state assessment module, and a display module;

[0025] The electromyography processing and feature extraction module processes the surface electromyography signal data of the foot and ankle related muscles, extracts the average amplitude and clonus frequency of the surface electromyography signal, uses the average amplitude as the first surface electromyography signal feature value of the foot and ankle related muscles, and uses the clonus frequency as the second surface electromyography signal feature value of the foot and ankle related muscles.

[0026] The muscle state assessment module evaluates the extracted first and second surface electromyographic signal feature values ​​of the foot and ankle-related muscles to determine the state type of the foot and ankle-related muscles.

[0027] The method for tracing the origin of ankle joint motor control disorders includes the following steps:

[0028] Surface electromyography electrodes are attached to the same foot and ankle-related muscles on the patient's affected and unaffected lower legs (the patient has no knee or ankle joint range of motion impairment, but has ankle joint motor control impairment on the affected side and no ankle joint motor control impairment on the unaffected side); the foot and ankle-related muscles include: tibialis anterior, peroneus longus, lateral head of gastrocnemius, medial head of gastrocnemius, flexor digitorum longus, soleus, and peroneus brevis.

[0029] The electromyography (EMG) acquisition system collects surface EMG signal data of the affected ankle-related muscles and the same ankle-related muscles on the unaffected side during active movement and reflex tests. The active movement tests include: prone active dorsiflexion, prone active plantarflexion, and static standing. The reflex tests include: ankle dorsiflexion stretch reflex when knee is flexed in supine position, and ankle dorsiflexion stretch reflex when knee is extended in supine position.

[0030] The electromyography (EMG) processing and feature extraction module extracts the following features: the first surface EMG signal features of the affected ankle-related muscles and the same ankle-related muscles on the healthy side, and the second surface EMG signal features of the affected ankle-related muscles.

[0031] The muscle status assessment module is used to evaluate and determine the first and second surface electromyographic (EMG) signal feature values ​​of the muscles related to the affected foot and ankle.

[0032] 1) The following evaluation and judgment are made on the surface electromyography (EMG) signal feature values ​​extracted from the EMG signal data collected based on the patient's prone position and active dorsiflexion:

[0033] If the first surface electromyographic signal characteristic value of the tibialis anterior, peroneus longus or peroneus brevis muscles on the affected side is less than 30% (inclusive) of the first surface electromyographic signal characteristic value of the same foot and ankle related muscles on the healthy side, then the condition type of the tibialis anterior, peroneus longus or peroneus brevis muscles on the affected side is determined to be the first type of condition.

[0034] If the first surface electromyographic signal characteristic value of the tibialis anterior, peroneus longus or peroneus brevis muscles on the affected side is 30%-70% (excluding 30% and 70%) of the first surface electromyographic signal characteristic value of the same foot and ankle related muscles on the healthy side, then the condition type of the tibialis anterior, peroneus longus or peroneus brevis muscles on the affected side is determined to be the second type.

[0035] If the first surface electromyographic signal characteristic value of the tibialis anterior, peroneus longus or peroneus brevis muscles on the affected side is 120% or more (including 120%) of the first surface electromyographic signal characteristic value of the same foot and ankle related muscles on the healthy side, then the condition type of the tibialis anterior, peroneus longus or peroneus brevis muscles on the affected side is determined to be the third type.

[0036] 2) The following evaluation and judgment were made on the surface electromyography (EMG) signal feature values ​​extracted from the EMG signal data collected based on the patient's prone position and active plantar flexion:

[0037] If the first surface electromyographic signal characteristic value of the lateral head of the gastrocnemius, medial head of the gastrocnemius, or soleus muscle on the affected side is less than 30% (inclusive) of the first surface electromyographic signal characteristic value of the same foot and ankle-related muscles on the healthy side, then the condition type of the lateral head of the gastrocnemius, medial head of the gastrocnemius, or soleus muscle on the affected side is determined to be the first type of condition.

[0038] If the first surface electromyographic signal characteristic value of the lateral head of the gastrocnemius, medial head of the gastrocnemius, or soleus muscle on the affected side is 30%-70% (excluding 30% and 70%) of the first surface electromyographic signal characteristic value of the same foot and ankle-related muscles on the healthy side, then the condition type of the lateral head of the gastrocnemius, medial head of the gastrocnemius, or soleus muscle on the affected side is determined to be the second type.

[0039] If the first surface electromyographic signal characteristic value of the lateral head of the gastrocnemius, medial head of the gastrocnemius, or soleus muscle on the affected side is 120% or more (including 120%) of the first surface electromyographic signal characteristic value of the same foot and ankle-related muscles on the healthy side, then the condition type of the lateral head of the gastrocnemius, medial head of the gastrocnemius, or soleus muscle on the affected side is determined to be the third type.

[0040] 3) The following evaluation and judgment are made on the surface electromyography (EMG) signal feature values ​​extracted from the patient's static standing state:

[0041] If the first surface electromyographic signal characteristic value of the tibialis anterior, peroneus longus, lateral head of gastrocnemius, medial head of gastrocnemius, flexor digitorum longus, soleus, or peroneus brevis on the affected side is less than 30% (inclusive) of the first surface electromyographic signal characteristic value of the same foot and ankle-related muscles on the healthy side, then the condition type of the tibialis anterior, peroneus longus, lateral head of gastrocnemius, medial head of gastrocnemius, flexor digitorum longus, soleus, or peroneus brevis on the affected side is determined to be the first type of condition;

[0042] If the first surface electromyographic signal characteristic value of the tibialis anterior, peroneus longus, lateral head of gastrocnemius, medial head of gastrocnemius, flexor digitorum longus, soleus, or peroneus brevis muscles on the affected side is 30%-70% (excluding 30% and 70%) of the first surface electromyographic signal characteristic value of the same foot and ankle-related muscles on the healthy side, then the condition type of the tibialis anterior, peroneus longus, lateral head of gastrocnemius, medial head of gastrocnemius, flexor digitorum longus, soleus, or peroneus brevis muscles on the affected side is determined to be the second type of condition;

[0043] If the first surface electromyographic signal characteristic value of the tibialis anterior, peroneus longus, lateral head of gastrocnemius, medial head of gastrocnemius, flexor digitorum longus, soleus, or peroneus brevis muscles on the affected side is 120% or more (including 120%) of the first surface electromyographic signal characteristic value of the same foot and ankle-related muscles on the healthy side, then the condition type of the tibialis anterior, peroneus longus, lateral head of gastrocnemius, medial head of gastrocnemius, flexor digitorum longus, soleus, or peroneus brevis muscles on the affected side is determined to be the fourth type of condition;

[0044] 4) For the surface electromyography (EMG) signal data collected based on the patient's supine position with knee flexion and ankle dorsiflexion stretch reflex, the extracted surface EMG signal feature values ​​are evaluated and judged as follows:

[0045] If the second surface electromyographic signal characteristics of the tibialis anterior, peroneus longus, lateral head of gastrocnemius, medial head of gastrocnemius, flexor digitorum longus, soleus, or peroneus brevis on the affected side meet the following criteria: the frequency of clonus is consistent for 5 consecutive times and the frequency is 30-80 Hz, then the condition type of the tibialis anterior, peroneus longus, lateral head of gastrocnemius, medial head of gastrocnemius, flexor digitorum longus, soleus, or peroneus brevis on the affected side is classified as Category 5.

[0046] The main control device stores the status type information of the muscles related to the affected foot and ankle into the database; the status type information includes: the name of the muscles related to the affected foot and ankle, and the status type of the muscles related to the affected foot and ankle.

[0047] The main control device also generates a traceability auxiliary report containing the following: the status type information of the muscles related to the affected foot and ankle, and the first surface electromyographic signal characteristic value and the second surface electromyographic signal characteristic value of the muscles related to the affected foot and ankle;

[0048] The traceability auxiliary report generated by the main control device is displayed through the display module;

[0049] The traceability auxiliary report generated by the main control device is printed using a printer.

[0050] More specifically, the traceability auxiliary report generated by the main control device also includes the following: muscle names with a status type of Class 1, muscle names with a status type of Class 2, muscle names with a status type of Class 3, muscle names with a status type of Class 1 and Class 4, muscle names with a status type of Class 2 and Class 4, muscle names with a status type of Class 1 and Class 5, and muscle names with a status type of Class 2 and Class 5.

[0051] As can be seen from the above, the present invention can assess and determine the state type of the muscles related to the affected foot and ankle, and generate a source tracing auxiliary report, which can provide assistance for the source tracing diagnosis of ankle joint motor control disorders.

[0052] Doctors can refer to the source tracing auxiliary report to make a source diagnose of ankle joint motor control disorders, thereby improving the accuracy and efficiency of source tracing of ankle joint motor control disorders.

[0053] Specifically, doctors can refer to the source tracing auxiliary report for their work.

[0054] Muscles classified as type 1 are used as the basis for diagnosing severe paralysis of the ankle-related muscles on the affected side.

[0055] Muscles classified as type 2 were used as the basis for diagnosing mild paralysis of the ankle-related muscles on the affected side.

[0056] The muscles classified as category 3 are used as the basis for diagnosing compensatory movements in the ankle-related muscles of the affected side.

[0057] Muscles classified as type 4 are used as the basis for diagnosing increased static tension (hypertension) in the muscles related to the affected foot and ankle.

[0058] Muscles classified as category 5 are used as the basis for diagnosing hyperresponsiveness in the ankle-related muscles of the affected side;

[0059] Muscles classified as Category I with Category IV status are used as the basis for diagnosing severe paralysis and hypertonia in the affected foot and ankle muscles.

[0060] Muscles classified as type 2 or type 4 are used as the basis for diagnosing mild paralysis with hypertonia in the affected ankle and foot muscles.

[0061] Muscles classified as Category I with Category V status are used as the basis for diagnosing severe paralysis and hyperresponsiveness of the affected foot and ankle muscles.

[0062] Muscles classified as Category II with Category V were used as the basis for diagnosing mild paralysis and hyperresponsiveness of the affected ankle-foot related muscles.

[0063] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A system for assisting in tracing the cause of ankle movement control disorders, characterized in that, It comprises an electromyography acquisition system, a database, a main control device and a printer. The electromyography acquisition system comprises surface electromyography electrodes attached to the same ankle-related muscles of the affected lower leg and the healthy lower leg of the patient, for collecting surface electromyography signal data of the ankle-related muscles of the affected lower leg and the same ankle-related muscles of the healthy lower leg. The database stores the surface electromyography signal data of the ankle-related muscles of the affected lower leg and the same ankle-related muscles of the healthy lower leg collected by the electromyography acquisition system. The main control device calls the surface electromyography signal data of the ankle-related muscles of the affected lower leg and the same ankle-related muscles of the healthy lower leg from the database; the main control device further comprises an electromyography processing and characteristic value extraction module, a muscle state evaluation module and a display module. The electromyography processing and characteristic value extraction module processes the called surface electromyography signal data of the ankle-related muscles and extracts the average amplitude and the clonus frequency of the surface electromyography signal, taking the average amplitude as the first surface electromyography signal characteristic value of the ankle-related muscles and the clonus frequency as the second surface electromyography signal characteristic value of the ankle-related muscles, to obtain the first surface electromyography signal characteristic value of the ankle-related muscles of the affected lower leg and the same ankle-related muscles of the healthy lower leg and the second surface electromyography signal characteristic value of the ankle-related muscles of the affected lower leg. The muscle state evaluation module evaluates and judges the extracted first surface electromyography signal characteristic value and the second surface electromyography signal characteristic value of the ankle-related muscles of the affected lower leg: 1) for the surface electromyography signal data collected based on the active dorsiflexion state of the patient in the prone position, the extracted surface electromyography signal characteristic values are evaluated and judged as follows: if the first surface electromyography signal characteristic value of the tibialis anterior muscle, the long peroneal muscle or the short peroneal muscle of the affected lower leg is less than 30% of the first surface electromyography signal characteristic value of the same ankle-related muscles of the healthy lower leg, it is judged that the state type of the tibialis anterior muscle, the long peroneal muscle or the short peroneal muscle of the affected lower leg is the first type; if the first surface electromyography signal characteristic value of the tibialis anterior muscle, the long peroneal muscle or the short peroneal muscle of the affected lower leg is 30%-70% of the first surface electromyography signal characteristic value of the same ankle-related muscles of the healthy lower leg, it is judged that the state type of the tibialis anterior muscle, the long peroneal muscle or the short peroneal muscle of the affected lower leg is the second type; if the first surface electromyography signal characteristic value of the tibialis anterior muscle, the long peroneal muscle or the short peroneal muscle of the affected lower leg is more than 120% of the first surface electromyography signal characteristic value of the same ankle-related muscles of the healthy lower leg, it is judged that the state type of the tibialis anterior muscle, the long peroneal muscle or the short peroneal muscle of the affected lower leg is the third type; 2) for the surface electromyography signal data collected based on the active plantar flexion state of the patient in the prone position, the extracted surface electromyography signal characteristic values are evaluated and judged as follows: if the first surface electromyography signal characteristic value of the lateral head of the gastrocnemius muscle, the medial head of the gastrocnemius muscle or the soleus muscle of the affected lower leg is less than 30% of the first surface electromyography signal characteristic value of the same ankle-related muscles of the healthy lower leg, it is judged that the state type of the lateral head of the gastrocnemius muscle, the medial head of the gastrocnemius muscle or the soleus muscle of the affected lower leg is the first type; If the first sEMG feature value of the lateral head of gastrocnemius muscle, medial head of gastrocnemius muscle or soleus muscle of the affected side is 30%-70% of the first sEMG feature value of the same ankle related muscle of the healthy side, the state type of the lateral head of gastrocnemius muscle, medial head of gastrocnemius muscle or soleus muscle of the affected side is determined as the second type; If the first sEMG feature value of the lateral head of gastrocnemius muscle, medial head of gastrocnemius muscle or soleus muscle of the affected side is 120% or more of the first sEMG feature value of the same ankle related muscle of the healthy side, the state type of the lateral head of gastrocnemius muscle, medial head of gastrocnemius muscle or soleus muscle of the affected side is determined as the third type; 3) For the sEMG data collected based on the patient in the static standing state, the extracted sEMG feature values are evaluated and determined as follows: If the first sEMG feature value of the tibialis anterior muscle, long fibular muscle, lateral head of gastrocnemius muscle, medial head of gastrocnemius muscle, long flexor muscle of toes, soleus muscle or short fibular muscle of the affected side is 30% or less of the first sEMG feature value of the same ankle related muscle of the healthy side, the state type of the tibialis anterior muscle, long fibular muscle, lateral head of gastrocnemius muscle, medial head of gastrocnemius muscle, long flexor muscle of toes, soleus muscle or short fibular muscle of the affected side is determined as the first type; If the first sEMG feature value of the tibialis anterior muscle, long fibular muscle, lateral head of gastrocnemius muscle, medial head of gastrocnemius muscle, long flexor muscle of toes, soleus muscle or short fibular muscle of the affected side is 30%-70% of the first sEMG feature value of the same ankle related muscle of the healthy side, the state type of the tibialis anterior muscle, long fibular muscle, lateral head of gastrocnemius muscle, medial head of gastrocnemius muscle, long flexor muscle of toes, soleus muscle or short fibular muscle of the affected side is determined as the second type; If the first sEMG feature value of the tibialis anterior muscle, long fibular muscle, lateral head of gastrocnemius muscle, medial head of gastrocnemius muscle, long flexor muscle of toes, soleus muscle or short fibular muscle of the affected side is 120% or more of the first sEMG feature value of the same ankle related muscle of the healthy side, the state type of the tibialis anterior muscle, long fibular muscle, lateral head of gastrocnemius muscle, medial head of gastrocnemius muscle, long flexor muscle of toes, soleus muscle or short fibular muscle of the affected side is determined as the fourth type; 4) For the sEMG data collected based on the patient in the supine position, the extracted sEMG feature values are evaluated and determined as follows: If the second sEMG feature value of the tibialis anterior muscle, long fibular muscle, lateral head of gastrocnemius muscle, medial head of gastrocnemius muscle, long flexor muscle of toes, soleus muscle or short fibular muscle of the affected side meets the following condition: the frequency of the clonus is consistent for 5 times in succession and the frequency is 30-80 HZ, the state type of the tibialis anterior muscle, long fibular muscle, lateral head of gastrocnemius muscle, medial head of gastrocnemius muscle, long flexor muscle of toes, soleus muscle or short fibular muscle of the affected side is determined as the fifth type; The main control device stores the state type information of the ankle related muscle of the affected side into a database; the state type information includes the name of the ankle related muscle of the affected side and the state type of the ankle related muscle of the affected side. The main control device also generates a traceability auxiliary report containing the state type information of the contralateral ankle-related muscle and the first and second surface electromyogram signal characteristic values of the contralateral ankle-related muscle; the traceability auxiliary report generated by the main control device also contains the muscle names of the state type of the first type, the state type of the second type, the state type of the third type, the state type of the first type accompanied by the fourth type, the state type of the second type accompanied by the fourth type, the state type of the first type accompanied by the fifth type, and the state type of the second type accompanied by the fifth type; The display module displays the traceability auxiliary report generated by the main control device; The printer prints the traceability auxiliary report generated by the main control device.

Citation Information

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