Discriminative Frequencies and Temporal EEG Segmentation in the Motor Imagery Classification Approach

A linear discriminant analysis transformation-based approach to the classification of three different motor imagery types for brain–computer interfaces was considered. The study involved 16 conditionally healthy subjects (12 men, 4 women, mean age of 21.5 years). First, the search for subject-specif...

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Autors principals:	Dmitry Lazurenko, Igor Shepelev, Dmitry Shaposhnikov, Anton Saevskiy, Valery Kiroy
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2022-03-01
Col·lecció:	Applied Sciences
Matèries:	EEG brain–computer interfaces motor imagery machine learning cross-correlation frequency power spectrum
Accés en línia:	https://www.mdpi.com/2076-3417/12/5/2736
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