公开(公告)号：US20250124291A1

公开(公告)日：2025-04-17

申请号：US19002647

申请日：2024-12-26

Applicant: ANHUI UNIVERSITY

Inventor： Zhao LV ,  Huabin WANG ,  Ping LI ,  Chao ZHANG ,  Cunhang FAN ,  Daoxin ZHANG ,  Lei ZHANG ,  Xinhui LI

IPC: G06N3/082

Abstract: The present invention discloses a dyskinesia rehabilitation training method and system based on electroencephalogram signal recognition; the method includes: the convolutional neural network is used to recognize the electroencephalogram signal, analyze the patient's motor intention, convert the motor intention into a control instruction for the exoskeleton device, drive the patient's limb movement by controlling the movement of the exoskeleton device, and assist the patient to complete the movement disorder rehabilitation training. In this method, the self-attention mechanism and self-distillation training were used to establish an electroencephalogram signal recognition model, analyzing the patient's motor intention to help motor nerve remodeling, which broke the passive and single problem of traditional rehabilitation methods, realized active rehabilitation of patients, and significantly improved the rehabilitation efficacy.