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.

公开(公告)号：US20250120831A1

公开(公告)日：2025-04-17

申请号：US19002641

申请日：2024-12-26

Applicant: ANHUI UNIVERSITY

Inventor： Zhao LV ,  Cunhang FAN ,  Ping LI ,  Huabin WANG ,  Lei ZHANG ,  Chao ZHANG ,  Xinhui LI ,  Shulin DAI ,  Chang ZHOU ,  Zitong SUN

IPC: A61F4/00 ,  A61B5/00 ,  A61B5/374 ,  A61B5/378 ,  G06F3/01

Abstract: The present invention discloses an intelligent ward round method and system based on an SSVEP electroencephalogram signal, the method including: the interactive terminal is used to present a visual stimulus source that includes a plurality of candidate intention options to the patient, the acquisition terminal is used to collect the patient's electroencephalogram signal, the electroencephalogram signal obtained by the acquisition terminal is transmitted to the interactive terminal for electroencephalogram signal recognition, the patient's expression intention is determined, and the expression intentions comprise disease intentions, privacy intentions, psychological intentions, physiological intentions, environmental intentions, and safety intentions, and the intelligent ward round is completed. This method greatly improving the ability of communication between the patient and medical staff.