A unified analytical framework with multiple fNIRS features for mental workload assessment in the prefrontal cortex

• Main Authors: Lim, L.G., Ung, W.C., Chan, Y.L., Lu, C.-K., Sutoko, S., Funane, T., Kiguchi, M., Tang, T.B.
• Format: Article
• Published: Institute of Electrical and Electronics Engineers Inc. 2020
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095862002&doi=10.1109%2fTNSRE.2020.3026991&partnerID=40&md5=289a34852adab11d22f73f1c6e5247a7; http://eprints.utp.edu.my/23193/

Knowing the actual level of mental workload is important to ensure the efficacy of brain-computer interface (BCI) based cognitive training. Extracting signals from limited area of a brain region might not reveal the actual information. In this study, a functional near-infrared spectroscopy (fNIRS) d...