IEEE Journal of Translational Engineering in Health and Medicine's unique aim is to publish original work in the intersection of engineering and clinical translation. The journal's focus is interdisciplinary collaborations between researchers, healthcare providers, and industry and aims to publish results and best practices from these translational efforts.
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.
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...
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