Stress Assessment and Mitigation using fNIRS and Binaural Beat Stimulation

Fares Al-Shargie, Rateb Katmah, Usman Tariq, Fabio Babiloni, Fadwa Al-Mughairbi, Hasan Al-Nashash

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper investigates binaural beat stimulation (BBs) on mitigating mental stress levels at the workplace. We developed an experimental protocol to induce stress levels by performing Stroop Color-Word Task (SCWT) under time pressure and negative feedback. Then, we mitigated the levels of stress using 16 Hz BBs. The level of stress was assessed by utilizing Functional Near-Infrared Spectroscopy (fNIRS), salivary alpha-amylase, and behavioral responses. We quantified the level of stress using statistical analysis, functional connectivity based on Phase Locking Value (PLV), and support vector machines (SVM) classifier. We found that BBs has significantly improved the accuracy of target detection by 27.35 %, (p<0.005) and reduced the cortisol level. The classification results showed that the SVM technique with PLV features differentiates between three levels of mental states (control, stress and mitigation) with an average accuracy of 65.22%, and sensitivity of 81.79% and specificity of 80.10%.

Original languageEnglish
Title of host publication2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2678-2683
Number of pages6
ISBN (Electronic)9781665442077
DOIs
Publication statusPublished - 2021
Event2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021 - Melbourne, Australia
Duration: Oct 17 2021Oct 20 2021

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)1062-922X

Conference

Conference2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021
Country/TerritoryAustralia
CityMelbourne
Period10/17/2110/20/21

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Human-Computer Interaction

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