CN-121987224-A - Muscle fatigue evaluation and self-adaptive intervention system based on microneedle array electrode

CN121987224ACN 121987224 ACN121987224 ACN 121987224ACN-121987224-A

Abstract

The invention discloses a muscle fatigue evaluation and self-adaptive intervention system based on a microneedle array electrode. The system comprises a microneedle array electrode module, a myoelectric signal acquisition module, a data processing and fatigue evaluation module, an electric stimulation output module and a control module, wherein the microneedle array electrode is arranged on the microneedle array electrode module, the myoelectric signal acquisition module acquires myoelectric signals of target muscles through the microneedle array electrode, the data processing and fatigue evaluation module processes the acquired myoelectric signals, extracts muscle fatigue characteristics, and further obtains a muscle fatigue state evaluation result based on the muscle fatigue characteristics, the electric stimulation output module applies electric stimulation intervention to the target muscles according to the muscle fatigue state evaluation result with the aim of relieving muscle fatigue, and adjusts electric stimulation signal parameters in a self-adaptive mode according to the muscle fatigue relieving condition monitored in real time, and the control module is used for controlling the data processing and fatigue evaluation module and the electric stimulation output module to alternately operate according to a preset working time sequence, so that the system is switched between a fatigue evaluation stage and an electric stimulation intervention stage. The invention can realize real-time assessment and self-adaptive active relief of muscle fatigue.

Inventors

FANG PENG
XU DEBIN
CAO JIANGLANG
LI GUANGLIN

Assignees

中国科学院深圳先进技术研究院

Dates

Publication Date: 20260508
Application Date: 20260212

Claims (9)

1. A muscle fatigue evaluation and self-adaptive intervention system based on a microneedle array electrode comprises a microneedle array electrode module, an electromyographic signal acquisition module, a data processing and fatigue evaluation module, an electrical stimulation output module and a control module, wherein: The microneedle array electrode module is provided with a microneedle array electrode, and the microneedle array electrode is used for establishing electrical connection with the target muscle so as to collect the electromyographic signals of the target muscle and output electrical stimulation signals; The myoelectric signal acquisition module is used for acquiring myoelectric signals of target muscles through the microneedle array electrode; The data processing and fatigue evaluation module is used for processing the collected electromyographic signals and extracting muscle fatigue characteristics, so that a corresponding muscle fatigue state evaluation result is obtained based on the muscle fatigue characteristics, wherein the muscle fatigue characteristics comprise one or more of time domain characteristics and frequency domain characteristics of the electromyographic signals; The electric stimulation output module is used for applying electric stimulation signals to target muscles according to the muscle fatigue state evaluation result; The control module is used for constructing a closed-loop control mechanism for decoupling a stimulation-evaluation time sequence, dividing the system operation into a fatigue evaluation window and an electric stimulation intervention window which are alternately arranged, wherein the electromyographic signals collected in the fatigue evaluation window are used for fatigue state evaluation; The control module also calculates a fatigue relief rate parameter according to the change rate of the electromyographic signal characteristics before and after the electrical stimulation intervention, and adaptively adjusts the stimulation intensity, the stimulation frequency and/or the pulse width of the electrical stimulation signal based on the fatigue relief rate parameter.
2. The system of claim 1, wherein the microneedle array electrode comprises an electrode substrate and a plurality of microneedle units disposed on a surface of the electrode substrate, the plurality of microneedle units being distributed in an array, the microneedle size being on the order of microns.
3. The system of claim 2, wherein the microneedle array electrode is in electrical signal communication with the electromyographic signal acquisition module via an electrode connection structure, the electrode connection structure being in the form of an electrode button, a snap-fit structure, or a conductive adhesive.
4. The system of claim 1, wherein the time domain features are root mean square values RMS and the frequency domain features are median frequencies MDF, expressed as: Wherein, the For the electromyographic signal sampling points in the time window, N is the number of sampling points in the window, As a function of the power spectral density, Is the frequency.
5. The system according to claim 1, wherein the muscle fatigue state assessment result is obtained according to the following steps: Setting a baseline stage, and acquiring initial values of target muscles in a non-fatigue state, wherein the initial values comprise an initial root mean square value (RMS 0 ) and an initial median frequency (MDF 0 ); In the continuous acquisition process of the electromyographic signals, calculating a root mean square value (RMS) and a median frequency (MDF) in real time, and comparing the RMS and the median frequency with corresponding initial values; The fatigue trend of the target muscle is determined when it is detected that the median frequency MDF continuously decreases relative to the MDF 0 or the rate of decrease thereof exceeds a preset threshold, and the target muscle is determined to enter a fatigue state when the root mean square value RMS continuously increases relative to the RMS 0 or the fluctuation amplitude is higher than the preset threshold and occurs simultaneously with the change of the MDF.
6. The system of claim 1, wherein the fatigue relief rate parameter is a recovery slope Δmdf recovery of the median frequency MDF relative to a pre-stimulus baseline value after termination of the electrical stimulation intervention: increasing the stimulation frequency and/or pulse width when Δmdf recovery is below a preset threshold; When Δmdf recovery is above the preset threshold, the stimulus intensity is reduced or the stimulus is terminated.
7. The system of claim 4, wherein the time domain features further comprise an electromyographic signal envelope and the frequency domain features further comprise an average frequency.
8. A method of microneedle array electrode-based muscle fatigue assessment and adaptive intervention based on the system of any one of claims 1 to 7, comprising the steps of: establishing electrical connection with the target muscle by utilizing the microneedle array electrode so as to acquire an electromyographic signal of the target muscle and output an electrical stimulation signal; Collecting myoelectric signals of a target muscle via the microneedle array electrode; Processing the collected electromyographic signals and extracting muscle fatigue characteristics, and further obtaining corresponding muscle fatigue state evaluation results based on the muscle fatigue characteristics, wherein the muscle fatigue characteristics comprise one or more of time domain characteristics and frequency domain characteristics of the electromyographic signals; Aiming at relieving muscle fatigue, applying electric stimulation signal intervention to target muscles according to the muscle fatigue state evaluation result, and self-adaptively adjusting electric stimulation signal parameters according to the real-time monitoring muscle fatigue relieving condition; The system comprises a fatigue evaluation window, an electrical stimulation intervention window, a closed-loop control mechanism for stimulating-evaluating time sequence decoupling, a stimulation safety monitoring system and a control system, wherein the closed-loop control mechanism for stimulating-evaluating time sequence decoupling is constructed, the system operation is divided into the fatigue evaluation window and the electrical stimulation intervention window which are alternately arranged, and the electromyographic signals collected in the fatigue evaluation window are used for fatigue state evaluation; And calculating a fatigue relieving rate parameter according to the change rate of the electromyographic signal characteristics before and after the electrical stimulation intervention, and adaptively adjusting the stimulation intensity, the stimulation frequency and/or the pulse width of the electrical stimulation signal based on the fatigue relieving rate parameter.
9. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, realizes the steps of the method according to claim 8.

Description

Muscle fatigue evaluation and self-adaptive intervention system based on microneedle array electrode Technical Field The invention relates to the technical field of nerve rehabilitation engineering, in particular to a muscle fatigue evaluation and self-adaptive intervention system based on a microneedle array electrode. Background Muscle fatigue refers to a physiological state in which muscle output force decreases and motor control ability decreases during continuous or repeated contraction due to insufficient energy supply, accumulation of metabolites, and decrease in neuromuscular control ability. Muscle fatigue is commonly found in application scenarios such as exercise training, rehabilitation therapy, and daily labor. If the muscle fatigue cannot be identified and intervened in time, the exercise injury or dysfunction is easy to induce, so that the method has important research and application value for objectively and real-timely monitoring and regulating the muscle fatigue. The existing muscle fatigue assessment method mainly comprises subjective assessment and objective assessment. The subjective evaluation method relies on subjective feeling of individuals, is greatly influenced by individual differences, has poor repeatability and stability, and is difficult to meet the requirements of real-time monitoring and quantitative analysis. In contrast, objective assessment methods can directly reflect muscle physiological states, where electromyography (Electromyography, EMG) is widely used in muscle fatigue studies because of the ability to characterize neuromuscular activity. Studies have shown that with progressive increase of muscle fatigue, the electromyographic signals exhibit a steady variation law in both time and Frequency domain characteristics, for example Root Mean Square (RMS) values generally increase with increasing fatigue level, whereas Median frequencies (MDF) exhibit a decreasing trend with time. The collection quality of the electromyographic signals is greatly affected by the contact performance of the electrode and the skin. The traditional wet electrode depends on conductive gel to realize good contact, and can obtain higher signal quality in a short time, but the problems of dry gel, skin irritation, reduced signal stability and the like are easy to occur in the long-term use process. Although the flat dry electrode avoids the use of conductive gel, the flat dry electrode is sensitive to motion artifact and contact state change due to higher contact impedance between the flat dry electrode and the skin stratum corneum, and is difficult to adapt to long-term and dynamic myoelectricity acquisition requirements. The microneedle array electrode (Microneedle Array Electrode, MAE) pierces the stratum corneum of the skin surface layer through a micron-sized needle-shaped structure to form electrical contact with the active epidermis layer, so that the electrode-skin interface impedance can be effectively reduced without conductive gel, the signal stability is improved, and the microneedle array electrode is gradually applied to bioelectric signal acquisition research in recent years. However, the existing research is generally focused on acquisition performance verification of the microneedle array electrode, and lacks a systematic technical scheme for combining the extraction of muscle fatigue characteristics and the regulation of fatigue state. Although the electrical stimulation has been applied to the regulation of muscle function and rehabilitation, in the prior art, the stimulation parameters are mostly manually set, and are difficult to dynamically adjust according to the change of individual muscle states, and a closed-loop control mechanism linked with the muscle fatigue detection result is not formed yet. Aiming at the requirements of muscle fatigue monitoring and intervention under the long-term dynamic condition, a closed-loop control technical scheme capable of stably acquiring electromyographic signals, realizing real-time fatigue state assessment based on fatigue characteristics such as RMS, MDF and the like and self-adaptively adjusting electric stimulation parameters according to assessment results is still lacking. At present, research on muscle fatigue is mainly focused on detection of fatigue states or single application of electrical stimulation intervention technology, and the detection and the electrical stimulation intervention technology and the single application exist as mutually independent technical paths, and no effective closed loop cooperative mechanism is formed. On one hand, the existing muscle fatigue detection method is mostly dependent on surface electromyographic signal analysis, and fatigue states are judged through signal-to-noise ratio, frequency domain characteristics or subjective threshold values, but detection results are usually only used for off-line analysis or post-evaluation, and follow-up intervention measures are difficult to guide in