Mental stress assessment based on feature level fusion of fNIRS and EEG signals

• Main Authors: Al-Shargie, F., Tang, T.B., Badruddin, N., Dass, S.C., Kiguchi, M.
• Format: Article
• Published: Institute of Electrical and Electronics Engineers Inc. 2017
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011982455&doi=10.1109%2fICIAS.2016.7824060&partnerID=40&md5=df408c0a5a61773b085d43e4c4ae25e7; http://eprints.utp.edu.my/20226/

This study aims to improve the detection rate of mental stress using the complementary nature of functional Near Infrared Spectroscopy (fNIRS) and Electroencephalogram (EEG). Simultaneous measurements of fNIRS and EEG signals were conducted on 12 subjects while solving arithmetic problems under two...