A VR-Based Motor Imagery Training System with EMG-Based Real-Time Feedback for Post-Stroke Rehabilitation

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 31; p. 1
• Main Authors: Lin, Meiai, Huang, Jianli, Fu, Jianming, Sun, Ya, Fang, Qiang
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.01.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Computer applications; Correlation analysis; EEG; Effectiveness; Electrodes; Electroencephalography; Electroencephalography - methods; Electromyography; EMG; Feedback; Frequencies; Humans; Imagery; Imagery, Psychotherapy - methods; Mental task performance; Motor imagery; Muscle strength; Muscles; Real time; real-time feedback; Real-time systems; Recovery; Rehabilitation; Stroke; Stroke (medical condition); Stroke Rehabilitation - methods; Synchronization; Training; Virtual environments; Virtual Reality

Rehabilitation is essential for post-stroke body function recovery. Supported by the mirror neuron theory, motor imagery (MI) has been proposed as a potential stroke therapy capable of facilitating the rehabilitation. However, it is often quite difficult to estimate the degree of the participation o...