Myoelectric Computer Interface Training for Reducing Co-Activation and Enhancing Arm Movement in Chronic Stroke Survivors: A Randomized Trial

• Published in: Neurorehabilitation and neural repair Vol. 33; no. 4; p. 284
• Main Authors: Mugler, Emily M, Tomic, Goran, Singh, Aparna, Hameed, Saad, Lindberg, Eric W, Gaide, Jon, Alqadi, Murad, Robinson, Elizabeth, Dalzotto, Katherine, Limoli, Camila, Jacobson, Tyler, Lee, Jungwha, Slutzky, Marc W
• Format: Journal Article
• Language: English
• Published: United States 01.04.2019
• Subjects: Adult; Aged; Arm - physiopathology; Biofeedback, Psychology - methods; Biomechanical Phenomena; Chronic Disease; Computers; Electromyography; Female; Humans; Male; Middle Aged; Movement; Muscle Spasticity; Muscle, Skeletal - physiopathology; Range of Motion, Articular; Recovery of Function; Stroke - physiopathology; Stroke Rehabilitation - methods; Treatment Outcome; User-Computer Interface; Video Games; feedback; stroke rehabilitation; impairment; co-activation; function; EMG; upper extremity

Abnormal muscle co-activation contributes to impairment after stroke. We developed a myoelectric computer interface (MyoCI) training paradigm to reduce abnormal co-activation. MyoCI provides intuitive feedback about muscle activation patterns, enabling decoupling of these muscles. To investigate tol...