A Fast Method for Muscle Motor Unit Depth Estimation

Abstract

The invention provides a fast method for estimating the depth of muscle movement units based on surface electromyographic signals for the muscles of the limbs of the human body. In this method, the firing time of the motor unit is firstly extracted from the surface electromyography signal, and then the firing waveform of the motor unit is extracted. Finally, the depth of the motor unit is estimated by using the geometric characteristics of the limbs of the human body. Using the average value at the time of independent release greatly improves the accuracy of the waveform and lays the foundation for the subsequent extraction of the peak-to-peak value of the waveform. Treat the limbs as cylinders and use your knowledge of geometry to calculate the chord lengths. Then according to the linear relationship between the chord length and the depth, and the power function relationship between the peak value and the depth, the constant is determined by fitting. The fitting method is very helpful to improve the rationality of the constants, effectively avoid the instability of parameter calculation, and improve the robustness of the results. The method proposed by the invention simplifies the calculation, improves the calculation speed, is simple to implement, and is very suitable for the rapid estimation of the clinical muscle movement unit depth.

Description

Technical field [0001] The invention relates to a fast method for estimating the depth of a muscle movement unit based on surface electromyography signals for the limb muscles of the human body. Background technique [0002] Surface EMG (sEMG) is the use of surface electrodes to detect EMG signals from the human body surface. Compared with Needle EMG (Needle EMG, NEMG), it is non-invasive, simple to operate, and easy for patients. Accept, so the application prospect is broad. The origin of sEMG is the motor unit activity potential (MUAP), which is released by every motor unit activated during a given muscle contraction. In any given recruitment mode, numerous motor units are activated in an asynchronous mode, and the sum of the activities of these motor units constitutes the strength of the electromyographic signal. The sEMG signal is essentially the sum of the active potential differences of multiple motor units, and its amplitude is typically between 1 and 5000 uv, and the fr...

AI Technical Summary

Problems solved by technology

However, these numerical algorithms are abstract in theory, complex in mathematical calculations, difficult to solve, and subject to the accuracy of the human body model, which takes a long time and is not suitable for the rapid depth estimation of muscle motor units in clinical practice.

[0004] In summary, the muscle motor unit depth estimation method has made some progress, but there are more or less defects and deficiencies, mainly including the heterogeneity and anisotropy of human tissue, and the high computational cost. Therefore, the current research on sEMG The depth estimation method of the signal is difficult to adapt to the rapid clinical requirements, and the patent of the present invention is just proposed to solve this problem

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