Electroencephalogram channel selection based on pearson correlation coefficient for motor imagery-brain-computer interface

Decryption of Motor Imagery (MI) activity from an Electroencephalogram (EEG) data is a significant part of the Brain-Computer Interface (BCI) technology that allows motor-disabled persons to connect with external devices. Channel selection, feature extraction, and classification are essential requir...

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Bibliographic Details

Published in:	Measurement: Sensors
Main Authors:	Pawan, Rohtash Dhiman
Format:	Article
Language:	English
Published:	Elsevier 2023-02-01
Subjects:	Brain computer interface (BCI) Electroencephalogram (EEG) Machine learning Motor imagery (MI) Pearson correlation coefficient (PCC) Wavelet packet decomposition (WPD)
Online Access:	http://www.sciencedirect.com/science/article/pii/S2665917422002501