Hamza Baali

HAMZA BAALI received the Ph.D. degree from the Intelligent Mechatronics Systems Research Unit, International Islamic University Malaysia. He is currently with the Department of Electronics, Malaysia Industry Transformation, Kuala Lumpur. His primary research interests include biomedical signal analysis, sparse representation, and machine learning.

Associated articles

JTEHM, Articles, Published Articles
A Transform-Based Feature Extraction Approach for Motor Imagery Tasks Classification
In this paper, we present a new motor imagery classification method in the context of electroencephalography (EEG)-based brain–computer interface (BCI). This method uses a signal-dependent orthogonal transform, referred to as linear prediction singular value decomposition (LP-SVD), for feature extraction. The... Read more