Augmenting Motor Imagery Learning for Brain-Computer Interfacing Using Electrical Stimulation as Feedback

Brain-computer Interfaces (BCI) and Functional electrical stimulation (FES) contribute significantly to induce cortical learning and to elicit peripheral neuronal activation processes and thus, are highly effective to promote motor recovery. This study aims at understanding the effect of FES as a ne...

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Veröffentlicht in:	IEEE transactions on medical robotics and bionics Jg. 1; H. 4; S. 247 - 255
Hauptverfasser:	Bhattacharyya, Saugat, Clerc, Maureen, Hayashibe, Mitsuhiro
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.11.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Brain-computer interfaces Brain-computer interfacing Cognitive science common spatial patterns Computer Science Electroencephalography Emerging Technologies Emulation Feedback functional electrical stimulation Human-Computer Interaction Human-computer interface Imagery Learning motor imagery Neuromuscular stimulation Neuroscience Rehabilitation Signal and Image Processing Stimulation Systems and Control
ISSN:	2576-3202, 2576-3202
Online-Zugang:	Volltext
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