Classification of Neurological States from Biosensor Signals Based on Statistical Features
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,...
Saved in:
Main Authors: | , , |
---|---|
格式: | Conference or Workshop Item |
出版: |
Institute of Electrical and Electronics Engineers Inc.
2019
|
在线阅读: | 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/ |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
成为第一个发表评论!