AIDA KHORSHIDTALAB was born in Iran. She received the B.Eng. degree in computer engineering from IAU, South Tehran Branch, and the M.Sc. degree in mechatronics engineering from the International Islamic University Malaysia, Malaysia, in 2012, where she is currently pursuing the Ph.D. degree. For her master's thesis, she worked on EEG signal processing and brain-actuated assistive robot. Her research interests include biomedical signal processing, cybernetics and assistive, and rehabilitation robotics.
JTEHM, Articles, Published ArticlesA 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
Posted on 17 NOV 2015