Three-Way Analysis of Spectrospatial Electromyography Data: Classification and Interpretation

Classifying multivariate electromyography (EMG) data is an important problem in prosthesis control as well as in neurophysiological studies and diagnosis. With modern high-density EMG sensor technology, it is possible to capture the rich spectrospatial structure of the myoelectric activity. We hypot...

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Veröffentlicht in:	PloS one Jg. 10; H. 6; S. e0127231
Hauptverfasser:	Kauppi, Jukka-Pekka, Hahne, Janne, Müller, Klaus-Robert, Hyvärinen, Aapo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 03.06.2015 Public Library of Science (PLoS)
Schlagworte:	Arrays Artificial intelligence Brain research Classification Computer science Density Electrodes Electromyography Electromyography - methods Electronic Data Processing - methods Engineering Female Generalized linear models Hand Hand - physiology Humans Independent component analysis Information processing Learning algorithms Machine learning Male Movement - physiology Multivariate analysis Myoelectricity Neurophysiology Physiological aspects Physiology Preprocessing Principal components analysis Propagation Prostheses Regularization Signal processing Temporal variations Japan Germany Finland
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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