This invention relates to the field of intelligent monitoring technology, specifically a monitoring and intervention
system based on wearable
electromyography (EMG) sensing. The
system includes: an impedance compensation acquisition module that applies a variable
capacitance bias
voltage to acquire discrete EMG parameters; a trajectory vector reconstruction module that generates a coordinate matrix and calculates the cosine of the tangent angle; a spasm identification and judgment module that calculates the output
signal when the dispersion exceeds the limit; a residual tension mapping module that generates an attenuation slope based on the over-limit parameters; and a stimulation waveform modulation module that generates an intervention waveform in combination with a safety benchmark. In this invention, high-fidelity discrete signals are acquired by dynamically compensating for the
polarization impedance fluctuations of the
skin contact surface, mapping the one-dimensional potential of the
time sequence to a multi-dimensional
phase space and calculating the tangent vector dispersion, accurately capturing the nonlinear abnormal variation characteristics hidden in
muscle spasms, dynamically converting the attenuation rate based on the tension difference and setting a safety limit benchmark in combination with the joint
range of motion, outputting an intervention waveform adapted to the current tension level, and providing truncation protection when the limit is exceeded.