Motor imagery signal classification using Wavelet packet decomposition and modified binary grey wolf optimization

Nowadays, Electroencephalogram (EEG) signals are widely used in brain-computer interfaces (BCIs), including the identification of motor imagery (MI) activities and prostheses. In this proposed scheme, wavelet packet decomposition (WPD) is used with approximate entropy (ApEn) as a mechanism for gener...

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Bibliografiske detaljer

Principais autores:	Pawan, Rohtash Dhiman
Format:	Artigo
Sprog:	Inglês
Udgivet:	Elsevier 2022-12-01
Serier:	Measurement: Sensors
Fag:	Approximate entropy (ApEn) Brain computer interface (BCI) Modified binary grey wolf optimization (MBGWO) Electroencephalogram (EEG) Motor imagery (MI) Wavelet packet decomposition (WPD)
Online adgang:	http://www.sciencedirect.com/science/article/pii/S2665917422001878
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