EEG-based motor imagery channel selection and classification using hybrid optimization and two-tier deep learning.

Autor: Kumari A; Department of Computer Science and Engineering, National Institute of Technology Goa, Cuncolim, South Goa, 403 703, Goa, India. Electronic address: annupriya@nitgoa.ac.in., Edla DR; Department of Computer Science and Engineering, National Institute of Technology Goa, Cuncolim, South Goa, 403 703, Goa, India. Electronic address: dr.reddy@nitgoa.ac.in., Reddy RR; Department of Computer Science and Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad, 500 075, India. Electronic address: srinivasakarumuri@gmail.com., Jannu S; Department of Computer Science and Engineering, Vaagdevi Engineering College, Warangal, Telangana, 506 005, India. Electronic address: j.srikanth@live.com., Vidyarthi A; Department of CSE&IT, Jaypee Institute of Information Technology, Noida, Uttar Pradesh, 201309, India. Electronic address: dr.ankit.vidyarthi@gmail.com., Alkhayyat A; The Islamic University, Najaf, Najaf, Iraq. Electronic address: ahmedalkhayyat85@iunajaf.edu.iq., de Marin MSG; Engineering Research & Innovation Group, Universidad Europea del Atlántico, C/Isabel Torres 21, 39011 Santander, Spain; Department of Project Management, Universidad Internacional Iberoamericana, Arecibo, PR 00613, USA; Department of Project Management, Universidade Internacional do Cuanza, Estrada Nacional 250, Bairro Kaluapanda, Cuito-Bié, Angola. Electronic address: silvana.marin@unic.co.ao.

Publikováno v: Journal of neuroscience methods [J Neurosci Methods] 2024 Sep; Vol. 409, pp. 110215. Date of Electronic Publication: 2024 Jul 03.