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...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Pawan, Rohtash Dhiman
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2023-02-01
Schriftenreihe:	Measurement: Sensors
Schlagworte:	Brain computer interface (BCI) Electroencephalogram (EEG) Machine learning Motor imagery (MI) Pearson correlation coefficient (PCC) Wavelet packet decomposition (WPD)
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S2665917422002501
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