A muscle fatigue monitoring system and method based on myoelectric signals and deformation signals
By acquiring electromyographic and deformation signals of muscles using flexible array electromyographic electrodes and strain electrodes, and combining this with multi-channel signal processing and analysis, the problem of inaccurate muscle fatigue assessment has been solved, and accurate monitoring of muscle fatigue has been achieved.
Patent Information
- Application Number
- CN202411844235.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-16
- Publication Date
- 2026-06-16
AI Technical Summary
Existing technologies for evaluating muscle fatigue are not accurate enough and can easily lead to muscle damage.
Flexible array electromyographic electrodes and strain electrodes are used to collect electromyographic and deformation signals of muscles. Combined with multi-channel signal processing and analysis, the signals are uploaded to the host computer for comprehensive evaluation via the controller.
It enables accurate monitoring of muscle fatigue, thus preventing muscle damage.
Smart Images
Figure CN122208169A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of muscle fatigue monitoring technology, and in particular to a muscle fatigue monitoring system and method based on electromyographic signals and deformation signals. Background Technology
[0002] Muscle fatigue refers to the inability of muscles to maintain the required or expected muscle tension and contraction after a period of sustained or repetitive contraction. Excessive muscle fatigue can lead to muscle strain. Continuing to exercise when muscles are fatigued to a certain extent greatly increases the risk of muscle injury.
[0003] Muscle fatigue is a significant issue in sports science and rehabilitation medicine, with a major impact on human health and the maintenance of normal function. Current technologies allow for assessment of fatigue through subjective feelings, muscle strength measurements, and heart rate measurements, among others. However, these existing methods are not entirely accurate. Summary of the Invention
[0004] This invention addresses the problems and shortcomings of existing technologies by providing a muscle fatigue monitoring system and method based on electromyographic signals and deformation signals.
[0005] The present invention solves the above-mentioned technical problems through the following technical solution:
[0006] This invention provides a muscle fatigue monitoring system based on electromyographic (EMG) signals and deformation signals. The system comprises flexible array-type EMG electrodes and flexible array-type strain electrodes attached to the muscles of the monitored area of the subject; a multi-channel EMG signal acquisition unit, a multi-channel pre-amplifier EMG signal amplifier, a multi-channel EMG signal filter, and a multi-channel post-amplifier EMG signal amplifier corresponding to the flexible array-type EMG electrodes; a multi-channel deformation signal acquisition unit, a multi-channel pre-amplifier deformation signal amplifier, a multi-channel deformation signal filter, and a multi-channel post-amplifier deformation signal amplifier corresponding to the flexible array-type strain electrodes; a controller; a Bluetooth module; and a host computer.
[0007] The multi-channel electromyography (EMG) signal acquisition device is used to acquire multi-channel surface EMG signals of the muscles in the monitored area through flexible array EMG electrodes. The multi-channel pre-amplifier EMG signal amplifier is used to amplify the multi-channel surface EMG signals. The multi-channel EMG signal filter is used to filter the amplified multi-channel surface EMG signals. The multi-channel post-amplifier EMG signal amplifier is used to amplify the filtered multi-channel surface EMG signals again.
[0008] The multi-channel deformation signal acquisition device is used to acquire multi-channel deformation signals of the muscle in the monitored area through a flexible array of deformation electrodes. The multi-channel pre-amplifier deformation signal amplifier is used to amplify the multi-channel deformation signals. The multi-channel deformation signal filter is used to filter the amplified multi-channel deformation signals. The multi-channel post-amplifier deformation signal amplifier is used to amplify the filtered multi-channel deformation signals again.
[0009] The controller is used to receive multi-channel surface electromyography signals and multi-channel deformation signals after signal amplification, and upload them to the host computer via Bluetooth module.
[0010] Preferably, the host computer is used to display the waveforms of the received multi-channel surface electromyography (EMG) signals and multi-channel deformation signals, and to analyze the muscle fatigue status of the monitored muscles in the monitored area based on the multi-channel EMG signals and multi-channel deformation signals.
[0011] Preferably, the host computer is used to superimpose multi-channel surface electromyography (EMG) signals and then extract features to obtain EMG features, and to superimpose multi-channel deformation signals and then extract features to obtain deformation features, and to analyze the muscle fatigue status of the monitored muscles in the monitored area based on the EMG features and deformation features.
[0012] This embodiment also provides a muscle fatigue monitoring method based on electromyographic signals and deformation signals, characterized in that it is implemented using the aforementioned muscle fatigue monitoring system, and includes the following steps:
[0013] S1. The multi-channel electromyography (EMG) signal acquisition device acquires multi-channel surface EMG signals of the muscles in the monitored area through flexible array EMG electrodes. The multi-channel pre-amplifier amplifies the multi-channel surface EMG signals, and the multi-channel EMG signal filter filters the amplified multi-channel surface EMG signals. The multi-channel post-amplifier amplifies the filtered multi-channel surface EMG signals again.
[0014] S2. The multi-channel deformation signal acquisition device acquires multi-channel deformation signals of the muscle in the monitored area through a flexible array of deformation electrodes. The multi-channel pre-amplifier amplifies the multi-channel deformation signal, and the multi-channel deformation signal filter filters the amplified multi-channel deformation signal. The multi-channel post-amplifier amplifies the filtered multi-channel deformation signal again.
[0015] S3. The controller receives the amplified multi-channel surface electromyography signal and multi-channel deformation signal, and uploads them to the host computer via Bluetooth module.
[0016] Preferably, after step S3, the host computer displays the waveforms of the received multi-channel surface electromyography (EMG) signals and multi-channel deformation signals, and analyzes the muscle fatigue status of the monitored muscles in the monitored area based on the multi-channel EMG signals and multi-channel deformation signals.
[0017] Preferably, the host computer performs signal superposition on multi-channel surface electromyography (EMG) signals and then extracts features to obtain EMG features, and performs signal superposition on multi-channel deformation signals and then extracts features to obtain deformation features. Based on the EMG features and deformation features, the host computer analyzes the muscle fatigue status of the monitored muscles in the monitored area of the subject.
[0018] The positive and progressive effects of this invention are as follows:
[0019] This invention can accurately collect surface electromyographic signals and deformation signals of the muscles in the monitored area of the subject, and can accurately analyze the muscle fatigue status of the muscles in the monitored area based on the surface electromyographic signals and deformation signals. Attached Figure Description
[0020] Figure 1 This is a schematic diagram of the structural principle of a muscle fatigue monitoring system according to a preferred embodiment of the present invention. Detailed Implementation
[0021] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0022] like Figure 1 As shown, this embodiment provides a muscle fatigue monitoring system based on electromyographic (EMG) signals and deformation signals. It includes a flexible array of EMG electrodes 10 and a flexible array of strain electrodes 20 attached to the muscles of the monitored body. Corresponding to the flexible array of EMG electrodes 10 are a multi-channel EMG signal acquisition unit 11, a multi-channel pre-amplifier EMG signal amplifier 12, a multi-channel EMG signal filter 13, and a multi-channel post-amplifier EMG signal amplifier 14. Corresponding to the flexible array of strain electrodes 20 are a multi-channel deformation signal acquisition unit 21, a multi-channel pre-amplifier deformation signal amplifier 22, a multi-channel deformation signal filter 23, and a multi-channel post-amplifier deformation signal amplifier 24. It also includes a controller 30, a Bluetooth module 40, and a host computer 50.
[0023] The multi-channel electromyography (EMG) signal acquisition unit 11 is used to acquire multi-channel surface EMG signals of the muscles in the monitored area through the flexible array EMG electrodes 10. The multi-channel pre-amplifier EMG signal amplifier 12 is used to amplify the multi-channel surface EMG signals. The multi-channel EMG signal filter 13 is used to filter the amplified multi-channel surface EMG signals. The multi-channel post-amplifier EMG signal amplifier 14 is used to amplify the filtered multi-channel surface EMG signals again.
[0024] The multi-channel deformation signal acquisition unit 21 is used to acquire multi-channel deformation signals of the muscle in the monitored area through a flexible array deformation electrode. The multi-channel pre-deformation signal amplifier 22 is used to amplify the multi-channel deformation signals. The multi-channel deformation signal filter 23 is used to filter the amplified multi-channel deformation signals. The multi-channel post-deformation signal amplifier 24 is used to amplify the filtered multi-channel deformation signals again.
[0025] The controller 30 is used to receive multi-channel surface electromyography signals and multi-channel deformation signals after signal amplification, and upload them to the host computer 50 via Bluetooth module 40.
[0026] The host computer 50 is used to display the waveforms of the received multi-channel surface electromyography (EMG) signals and multi-channel deformation signals, and to analyze the muscle fatigue status of the monitored muscles in the monitored area based on the multi-channel EMG signals and multi-channel deformation signals. Specifically, the multi-channel EMG signals are superimposed and then feature extracted to obtain EMG features, and the multi-channel deformation signals are superimposed and then feature extracted to obtain deformation features. The muscle fatigue status of the monitored muscles in the monitored area is analyzed based on the EMG features and deformation features.
[0027] Surface electromyography (EMG) signals are electrical potential signals generated during muscle contraction. These signals can propagate to the skin surface through fat and subcutaneous tissue. Electrode patches can be used as acquisition electrodes to detect these EMG signals. This detection method does not require damaging the surface skin of the target muscle; the electrode patch is directly coupled to the surface skin to guide and transmit the electrical potential signals generated by muscle activity. It is non-invasive and easy to use.
[0028] Muscle deformation signal refers to the signal generated by the physical deformation of muscles when subjected to external force. It has the characteristics of high signal-to-noise ratio, simple preprocessing, and good real-time performance. At the same time, it is directly related to muscle energy consumption.
[0029] Based on this, this embodiment collects surface electromyography (EMG) signals and deformation signals of the muscles in the monitored area of the subject, and analyzes the muscle fatigue status of the muscles in the monitored area based on the surface EMG signals and deformation signals.
[0030] This embodiment also provides a muscle fatigue monitoring method based on electromyographic signals and deformation signals, which is implemented using the above-mentioned muscle fatigue monitoring system and includes the following steps:
[0031] S1. The multi-channel electromyography (EMG) signal acquisition device 11 acquires multi-channel surface EMG signals of the muscles in the monitored area through the flexible array of EMG electrodes 10. The multi-channel pre-amplifier EMG signal 12 amplifies the multi-channel surface EMG signals. The multi-channel EMG signal filter 13 filters the amplified multi-channel surface EMG signals. The multi-channel post-amplifier EMG signal 14 amplifies the filtered multi-channel surface EMG signals again.
[0032] S2. The multi-channel deformation signal acquisition unit 21 acquires multi-channel deformation signals of the muscle in the monitored area through the flexible array deformation electrode 20. The multi-channel pre-deformation signal amplifier 22 amplifies the multi-channel deformation signals. The multi-channel deformation signal filter 23 filters the amplified multi-channel deformation signals. The multi-channel post-deformation signal amplifier 24 amplifies the filtered multi-channel deformation signals again.
[0033] S3, the controller 30 receives the amplified multi-channel surface electromyography signal and multi-channel deformation signal, and uploads them to the host computer 50 via the Bluetooth module 40.
[0034] S4. The host computer 50 displays the waveforms of the received multi-channel surface electromyography (EMG) signals and multi-channel deformation signals, and analyzes the muscle fatigue status of the monitored muscles in the monitored area based on the multi-channel EMG signals and multi-channel deformation signals. Specifically, the multi-channel EMG signals are superimposed and then feature extracted to obtain EMG features, and the multi-channel deformation signals are superimposed and then feature extracted to obtain deformation features. The muscle fatigue status of the monitored muscles in the monitored area is analyzed based on the EMG features and deformation features.
[0035] While specific embodiments of the present invention have been described above, those skilled in the art should understand that these are merely illustrative examples, and the scope of protection of the present invention is defined by the appended claims. Those skilled in the art can make various changes or modifications to these embodiments without departing from the principles and essence of the present invention, but all such changes and modifications fall within the scope of protection of the present invention.
Claims
1. A muscle fatigue monitoring system based on electromyographic signals and deformation signals, characterized in that, It includes flexible array electromyography (EMG) electrodes and flexible array strain electrodes attached to the muscles of the monitored area of the subject; a multi-channel EMG signal acquisition unit, a multi-channel pre-amplifier EMG signal amplifier, a multi-channel EMG signal filter, and a multi-channel post-amplifier EMG signal amplifier corresponding to the flexible array EMG electrodes; a multi-channel deformation signal acquisition unit, a multi-channel pre-amplifier deformation signal amplifier, a multi-channel deformation signal filter, and a multi-channel post-amplifier deformation signal amplifier corresponding to the flexible array strain electrodes; a controller; a Bluetooth module; and a host computer. The multi-channel electromyography (EMG) signal acquisition device is used to acquire multi-channel surface EMG signals of the muscles in the monitored area through flexible array EMG electrodes. The multi-channel pre-amplifier EMG signal amplifier is used to amplify the multi-channel surface EMG signals. The multi-channel EMG signal filter is used to filter the amplified multi-channel surface EMG signals. The multi-channel post-amplifier EMG signal amplifier is used to amplify the filtered multi-channel surface EMG signals again. The multi-channel deformation signal acquisition device is used to acquire multi-channel deformation signals of the muscle in the monitored area through a flexible array of deformation electrodes. The multi-channel pre-amplifier deformation signal amplifier is used to amplify the multi-channel deformation signals. The multi-channel deformation signal filter is used to filter the amplified multi-channel deformation signals. The multi-channel post-amplifier deformation signal amplifier is used to amplify the filtered multi-channel deformation signals again. The controller is used to receive multi-channel surface electromyography signals and multi-channel deformation signals after signal amplification, and upload them to the host computer via Bluetooth module.
2. The muscle fatigue monitoring system based on electromyographic signals and deformation signals as described in claim 1, characterized in that, The host computer is used to display the waveforms of the received multi-channel surface electromyography (EMG) signals and multi-channel deformation signals, and to analyze the muscle fatigue status of the monitored muscles in the monitored area based on the multi-channel EMG signals and multi-channel deformation signals.
3. The muscle fatigue monitoring system based on electromyographic signals and deformation signals as described in claim 2, characterized in that, The host computer is used to superimpose multi-channel surface electromyography (EMG) signals and then extract features to obtain EMG features, and to superimpose multi-channel deformation signals and then extract features to obtain deformation features. Based on the EMG features and deformation features, the computer analyzes the muscle fatigue status of the monitored muscles in the monitored area of the subject.
4. A method for monitoring muscle fatigue based on electromyographic signals and deformation signals, characterized in that, It is implemented using the muscle fatigue monitoring system of claim 1, and includes the following steps: S1. The multi-channel electromyography (EMG) signal acquisition device acquires multi-channel surface EMG signals of the muscles in the monitored area through flexible array EMG electrodes. The multi-channel pre-amplifier amplifies the multi-channel surface EMG signals, and the multi-channel EMG signal filter filters the amplified multi-channel surface EMG signals. The multi-channel post-amplifier amplifies the filtered multi-channel surface EMG signals again. S2. The multi-channel deformation signal acquisition device acquires multi-channel deformation signals of the muscle in the monitored area through a flexible array of deformation electrodes. The multi-channel pre-amplifier amplifies the multi-channel deformation signal, and the multi-channel deformation signal filter filters the amplified multi-channel deformation signal. The multi-channel post-amplifier amplifies the filtered multi-channel deformation signal again. S3. The controller receives the amplified multi-channel surface electromyography signal and multi-channel deformation signal, and uploads them to the host computer via Bluetooth module.
5. The muscle fatigue monitoring method based on electromyographic signals and deformation signals as described in claim 4, characterized in that, After step S3, the host computer displays the waveforms of the received multi-channel surface electromyography (EMG) signals and multi-channel deformation signals, and analyzes the muscle fatigue status of the monitored muscles in the monitored area based on the multi-channel EMG signals and multi-channel deformation signals.
6. The muscle fatigue monitoring method based on electromyographic signals and deformation signals as described in claim 5, characterized in that, The host computer performs signal superposition and feature extraction on multi-channel surface electromyography (EMG) signals to obtain EMG features, and performs signal superposition and feature extraction on multi-channel deformation signals to obtain deformation features. Based on the EMG features and deformation features, the computer analyzes the muscle fatigue status of the monitored muscles in the monitored area of the subject.