Classification of Neurological States from Biosensor Signals Based on Statistical Features

• Main Authors: Xin, S.Q., Yahya, N., Izhar, L.I.
• Format: Conference or Workshop Item
• Published: Institute of Electrical and Electronics Engineers Inc. 2019
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075630463&doi=10.1109%2fSCORED.2019.8896286&partnerID=40&md5=05c3eb4d2ba81cd7bcbd69d8b7b9b3be; http://eprints.utp.edu.my/24915/

In this paper, we investigate techniques to classify the neurological status based on the biosensor signals. The sensor used in this work, recorded reading of acceleration (accX, aceY, accZ), temperature and electrodermal activity (EDA). Four neurological conditions are considered; cognitive stress,...