The invention relates to the technical field of
medical rehabilitation training, in particular to an intelligent hand training method and
system,
electronic equipment and a storage medium, and the method comprises the steps: receiving a training mode instruction selected by a user; real-time biomechanical data of the affected side hand are collected through a multi-source
sensor array, the real-time biomechanical data comprise
finger joint angles, electromyographic
signal intensity and a touch pressure
distribution matrix, and when the affected side hand is in a
mirror image training mode, the six-degree-of-freedom motion trail of the uninjured side hand is synchronously collected; calling a corresponding
algorithm model for
processing based on the training mode, and generating a control
instruction set containing
pneumatic pressure parameters, electrical stimulation waveforms and
virtual interaction instructions; the control
instruction set is sent to a
server side, a mechanical glove arranged on the hand of the affected side in a sleeving mode executes corresponding pneumatic-electric combined driving operation, and multi-sense feedback is synchronously presented. According to the application, the composite requirements of patients in different
rehabilitation stages on training mode diversity, control accuracy and interactive immersion can be met.