Application of Motor Imagery Brain-Computer Interface on Patients with Motor Dysfunction after Stroke
Motor imagery brain-computer interface (MI-BCI) technology determines the motor intention by recognizing the electroencephalogram (EEG) signals generated by motor imagery and then realizes the communication and control between the human brain and external devices. MI-BCI technology had achieved a po...
Saved in:
Main Authors: | JIANG Yongchun, YIN Junxiao, ZHAO Biyi, WANG Siqing, OU Peilin, LI Jiawen, ZHANG Yanni, LIN Qiang |
---|---|
Format: | Article |
Language: | English |
Published: |
Editorial Office of Rehabilitation Medicine
2023-12-01
|
Series: | 康复学报 |
Subjects: | |
Online Access: | http://kfxb.publish.founderss.cn/thesisDetails#10.3724/SP.J.1329.2023.06013 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Review of Brain Computer Interface Technology in the Treatment of Motor Dysfunction after Stroke
by: Yulian ZHU, et al.
Published: (2020-04-01) -
Progress in the application of motor imagery therapy in upper limb motor function rehabilitation of stroke patients with hemiplegia
by: Shuying Shen, et al.
Published: (2025-02-01) -
Application of Motor Imagery Brain-Computer Interface in Rehabilitation of Neurological Diseases
by: YANG Banghua
Published: (2023-12-01) -
Application of Brain-computer Interface System in Stroke Patients
by: Rongrong LU, et al.
Published: (2016-10-01) -
A Bibliometric Review of Brain–Computer Interfaces in Motor Imagery and Steady-State Visually Evoked Potentials for Applications in Rehabilitation and Robotics
by: Nayibe Chio, et al.
Published: (2024-12-01)