EEG Signal Complexity Measurements to Enhance BCI-Based Stroke Patients’ Rehabilitation

The second leading cause of death and one of the most common causes of disability in the world is stroke. Researchers have found that brain–computer interface (BCI) techniques can result in better stroke patient rehabilitation. This study used the proposed motor imagery (MI) framework to analyze the...

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Bibliographic Details
Published in:	Sensors
Main Authors:	Noor Kamal Al-Qazzaz, Alaa A. Aldoori, Sawal Hamid Bin Mohd Ali, Siti Anom Ahmad, Ahmed Kazem Mohammed, Mustafa Ibrahim Mohyee
Format:	Article
Language:	English
Published:	MDPI AG 2023-04-01
Subjects:	brain computer interface electroencephalogram motor imagery independent component analysis features entropy
Online Access:	https://www.mdpi.com/1424-8220/23/8/3889

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