The invention relates to the technical field of
medical instruments, in particular to a magnetic control pulse type
pelvic floor nerve muscle stimulator and a parameter
optimization system thereof. Comprising a host, a dynamic layered
pulse waveform generation technology module, a multi-target
reinforcement learning parameter optimization module, a multi-
modal biofeedback fusion and VR enhancement module, and a flexible wearable stimulation array and ultrasonic targeting module. The
system has the advantages that real-
time data and
deep learning are achieved, and personalized precise treatment is achieved, in the
actual use process, the dynamic layered
pulse waveform generation technology module predicts the requirements of muscles in the next stage through a
deep learning model on the basis of
pelvic floor electromyographic signals,
pressure data and
infrared thermal imaging which are collected in real time, and the treatment accuracy is improved. Dynamically generating a
composite pulse waveform; the multi-objective
reinforcement learning parameter optimization module constructs a'state-action-reward '
reinforcement learning framework, and takes
patient treatment feedback,
muscle force improvement, pain
score and
treatment compliance as reward signals.