An Emotion Assessment of Stroke Patients by Using Bispectrum Features of EEG Signals.

Autor: Yean CW; Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis (UniMAP), Arau 02600, Perlis, Malaysia., Wan Ahmad WK; Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis (UniMAP), Arau 02600, Perlis, Malaysia., Mustafa WA; Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis (UniMAP), Arau 02600, Perlis, Malaysia., Murugappan M; Department of Electronics and Communication Engineering, Kuwait College of Science and Technology, Doha Area, 7th Ring Road, Kuwait City 13133, Kuwait., Rajamanickam Y; School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), 50 Nanyang Avenue, Singapore 639798, Singapore., Adom AH; Faculty of Electrical Engineering Technology, Universiti Malaysia Perlis (UniMAP), Arau 02600, Perlis, Malaysia., Omar MI; Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis (UniMAP), Arau 02600, Perlis, Malaysia., Zheng BS; Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis (UniMAP), Arau 02600, Perlis, Malaysia., Junoh AK; Institute of Engineering Mathematics, Universiti Malaysia Perlis, Arau 02600, Perlis, Malaysia., Razlan ZM; Faculty of Mechanical Engineering Technology, Universiti Malaysia Perlis (UniMAP), Arau 02600, Perlis, Malaysia., Bakar SA; Faculty of Mechanical Engineering Technology, Universiti Malaysia Perlis (UniMAP), Arau 02600, Perlis, Malaysia.

Publikováno v: Brain sciences [Brain Sci] 2020 Sep 25; Vol. 10 (10). Date of Electronic Publication: 2020 Sep 25.