Classification of Motor Imagery Using Trial Extension in Spatial Domain with Rhythmic Components of EEG

Classification of Motor Imagery Using Trial Extension in Spatial Domain with Rhythmic Components of EEG

Electrical activities of the human brain can be recorded with electroencephalography (EEG). To characterize motor imagery (MI) tasks for brain–computer interface (BCI) implementation is an easy and cost-effective tool. The MI task is represented by a short-time trial of multichannel EEG. In this pap...

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Bibliographic Details
Main Authors:	Md. Khademul Islam Molla, Sakir Ahamed, Ahmed M. M. Almassri, Hiroaki Wagatsuma
Format:	Article
Language:	English
Published:	MDPI AG 2023-09-01
Series:	Mathematics
Subjects:	brain–computer interface classification electroencephalography motor imagery task subband decomposition
Online Access:	https://www.mdpi.com/2227-7390/11/17/3801

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