Real-Time Myocontrol of a Human-Computer Interface by Paretic Muscles After Stroke

• Published in: IEEE transactions on cognitive and developmental systems Vol. 10; no. 4; pp. 1126 - 1132
• Main Authors: Chun Yang, Jinyi Long, Urbin, M. A., Yanyun Feng, Ge Song, Jian Weng, Zhijun Li
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.12.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Balloons; Biomedical signal processing; Computer & video games; Computer simulation; Data reduction; Electromyography; hand gesture recognition; Hand tools; hemiparesis; Human computer interaction; Human-computer interface; human–computer interface (HCI); Man-machine interfaces; Muscles; Real time; Real-time systems; rehabilitation; Stroke; Surface stability; Task analysis; Training; Wrist
• ISSN: 2379-8920; 2379-8939
• DOI: 10.1109/TCDS.2018.2830388

Biosignals from skeletal muscle have been used to control human-machine interface. Signals from paretic muscles of humans with stroke are distorted and highly variable. Here, we examine the stability of surface electromyography (sEMG) features from paretic hand muscles to enable continuous, real-tim...