A Randomised Ensemble Learning Approach for Multiclass Motor Imagery Classification Using Error Correcting Output Coding

Common Spectral Pattern (CSP) algorithm remains predominant for feature extraction from multichannel EEG motor imagery data. However, multiclass classification of from this featureset has been a challenging job. Different approaches have been proposed to be applied on featureset of different EEG sub...

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Veröffentlicht in:	Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jg. 2018; S. 5081 - 5084
Hauptverfasser:	Bera, Sutanu, Roy, Rinku, Sikdar, Debdeep, Kar, Aupendu, Mukhopadhyay, Rupsha, Mahadevappal, Manjunatha
Format:	Tagungsbericht Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.07.2018
Schlagworte:	Classification algorithms Covariance matrices Electroencephalography Feature extraction Matrix decomposition Training Vegetation
ISSN:	1557-170X, 2694-0604, 1558-4615, 2694-0604
Online-Zugang:	Volltext
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