eprintid: 9088
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/90/88
datestamp: 2023-11-09 16:21:02
lastmod: 2023-11-09 16:21:02
status_changed: 2023-11-09 16:14:14
type: conference_item
metadata_visibility: show
creators_name: Ung, W.C.
creators_name: Tang, T.B.
creators_name: Meriaudeau, F.
creators_name: Ebenezer, E.G.M.
title: Dynamic optimization of mental workload in fNIRS-BCI system for cognitive rehabilitation
ispublished: pub
keywords: Diseases; Functional neuroimaging; Image processing; Infrared devices; Interfaces (computer); Near infrared spectroscopy; Neurodegenerative diseases; Patient rehabilitation, Alzheimer's disease; Cognitive overload; Cognitive rehabilitation; Cognitive training; Dynamic optimization; fNIRS-BCI; Functional near infrared spectroscopy; Functional near-infrared spectroscopy (fnirs), Brain computer interface
note: cited By 0; Conference of 5th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2017 ; Conference Date: 12 September 2017 Through 14 September 2017; Conference Code:132915
abstract: Cognitive rehabilitation has been proposed as an alternative treatment for Alzheimer's disease (AD) as it helps to preserve brain functionality. However, gains of cognitive training or rehabilitation may be eliminated due to cognitive overload and mental fatigue. This paper reports the development of a functional near-infrared spectroscopy (fNIRS)-brain-computer interface (BCI) that can adjust task difficulty adaptively. The aim is to have participants trained at their optimal level of difficulty and workload to maximize their gains. One patient with mild AD and one healthy control were recruited to test the functionality of proposed fNIRS-BCI system. The fNIRS-BCI system is able to process fNIRS signals in real time and adjust task difficulty accordingly. The healthy control was able to proceed to higher task levels, as compared to the mild AD patient. The fNIRS-BCI system has the potential as a tool to examine the efficacy of cognitive rehabilitation as an alternative treatment for AD. © 2017 IEEE.
date: 2017
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041413062&doi=10.1109%2fICSIPA.2017.8120629&partnerID=40&md5=d5b21159904654071346381519fe7bb1
id_number: 10.1109/ICSIPA.2017.8120629
full_text_status: none
publication: Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2017
pagerange: 320-323
refereed: TRUE
isbn: 9781509055593
citation:   Ung, W.C. and Tang, T.B. and Meriaudeau, F. and Ebenezer, E.G.M.  (2017) Dynamic optimization of mental workload in fNIRS-BCI system for cognitive rehabilitation.  In: UNSPECIFIED.