eprintid: 6784
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/67/84
datestamp: 2023-11-09 16:18:35
lastmod: 2023-11-09 16:18:35
status_changed: 2023-11-09 16:07:39
type: conference_item
metadata_visibility: show
creators_name: Al-Shargie, F.
creators_name: Tang, T.B.
creators_name: Kiguchi, M.
title: Mental stress grading based on fNIRS signals
ispublished: pub
keywords: adolescent; adult; diagnosis; hemodynamics; human; male; mental stress; near infrared spectroscopy; prefrontal cortex; procedures; young adult, Adolescent; Adult; Hemodynamics; Humans; Male; Prefrontal Cortex; Spectroscopy, Near-Infrared; Stress, Psychological; Young Adult
note: cited By 21; Conference of 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 ; Conference Date: 16 August 2016 Through 20 August 2016; Conference Code:124354
abstract: In this study, we propose functional near infrared spectroscopy (fNIRS) to objectively grade different levels of mental stress. The levels of stress were set based on the difficulty of arithmetic task, time pressure and negative feedback about peer performance. We examined the proposed approach on twelve human subjects using the Montreal Imaging Stress Task. The experiment results revealed a reduction in cortical activation at prefrontal cortex when stressed, and the differences in hemodynamic response between control condition and under stress were significant for arithmetic difficulty level one, two and three, respectively, (p = 0.0023, 0.0001 and 0.0004). The experiment results thus support the suggestion of fNIRS in grading mental stress. © 2016 IEEE.
date: 2016
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009106045&doi=10.1109%2fEMBC.2016.7591884&partnerID=40&md5=8d07935ae53581e42f45983c88455865
id_number: 10.1109/EMBC.2016.7591884
full_text_status: none
publication: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
volume: 2016-O
pagerange: 5140-5143
refereed: TRUE
isbn: 9781457702204
issn: 1557170X
citation:   Al-Shargie, F. and Tang, T.B. and Kiguchi, M.  (2016) Mental stress grading based on fNIRS signals.  In: UNSPECIFIED.