A New Subject-Specific Discriminative and Multi-Scale Filter Bank Tangent Space Mapping Method for Recognition of Multiclass Motor Imagery

Objective: Tangent Space Mapping (TSM) using the geometric structure of the covariance matrices is an effective method to recognize multiclass motor imagery (MI). Compared with the traditional CSP method, the Riemann geometric method based on TSM takes into account the nonlinear information containe...

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Veröffentlicht in:	Frontiers in human neuroscience Jg. 15; S. 595723
Hauptverfasser:	Wu, Fan, Gong, Anmin, Li, Hongyun, Zhao, Lei, Zhang, Wei, Fu, Yunfa
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland Frontiers Research Foundation 08.03.2021 Frontiers Media S.A
Schlagworte:	Accuracy Algorithms Classification Competition Deep learning Discriminant analysis discriminative and multiscale filter bank EEG electroencephalogram Electroencephalography Mapping Mental task performance multiclass motor-imagery Multivariate analysis Neural networks Neuroscience Riemannian geometry based classifier Signal processing tangent space mapping multiclass motor-imagery discriminative and multiscale filter bank tangent space mapping electroencephalogram Riemannian geometry based classifier
ISSN:	1662-5161, 1662-5161
Online-Zugang:	Volltext
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