Multimodal Fusion Approach Based on EEG and EMG Signals for Lower Limb Movement Recognition

• Main Authors: Al-Quraishi, M.S., Elamvazuthi, I., Tang, T.B., Al-Qurishi, M., Parasuraman, S., Borboni, A.
• Format: Article
• Published: Institute of Electrical and Electronics Engineers Inc. 2021
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117259297&doi=10.1109%2fJSEN.2021.3119074&partnerID=40&md5=aee507ca5c2fb5336c6711fe63130308; http://eprints.utp.edu.my/29575/

In this study, the fusion of cortical and muscular activities based on discriminant correlation analysis DCA) is developed to recognize bilateral lower limb movements. Electromyography (EMG) and electroencephalography (EEG) signals were concurrently recorded from 28 healthy subjects while performing...