The invention discloses a pneumatic-biological
signal feedback cooperative control method based on an anti-gravity
rehabilitation treadmill, and the method comprises the steps: synchronously collecting sEMG, IMU and
plantar pressure signals, and completing the time-space registration through
clock synchronization, time warping and extended Kalman filtering;
muscle activation degree, pressure center offset and joint
angular velocity are extracted to construct multidimensional features, and
gait phase switching is predicted through LSTM-CNN; the TS fuzzy
system generates a preliminary control instruction according to expert rules, and Q-learning takes
pressure balance and motion
smoothing as reward functions to optimize the weight reduction proportion and the
treadmill speed online; a
waist annular
air cavity is driven to be inflated to form a pressure supporting field so as to lift a
pelvis and guide a
lower limb gait mechanical mode, so that the
muscle activation degree, the joint angular motion trail and the pressure center migration characteristic are dynamically influenced, a
servo motor tracks phase nodes in a feedforward-feedback mode, and risk early warning and training parameter self-adaptive closed-loop
rehabilitation are achieved.