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A BCI Framework Using Multifractal Detrended Fluctuation Analysis for EEG Feature Extraction

  • Khalifa University of Science and Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

MF-DFA was applied to EEG during Virtual Reality (VR) and 2D tasks. Beta multifractality increased in VR (p ≤ 0.0001, d = 1.07) while Gamma decreased (p = 0.027, d = 0.86), with strong Beta-Gamma correlation (r = 0.66). PSD supported these outcomes, showing reduced Alpha and elevated Beta/Gamma in VR. A biofeedback game was developed where difficulty adapts in real time using the Beta/Gamma multifractality ratio.

Original languageEnglish
Title of host publication2025 IEEE International Conference on E-health Networking, Application and Services, Healthcom 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331509897
DOIs
StatePublished - 2025
EventIEEE International Conference on E-health Networking, Applications and Services, IEEE HealthCom 2025 - Abu Dhabi, United Arab Emirates
Duration: 21 Oct 202523 Oct 2025

Publication series

Name2025 IEEE International Conference on E-health Networking, Application and Services, Healthcom 2025

Conference

ConferenceIEEE International Conference on E-health Networking, Applications and Services, IEEE HealthCom 2025
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period21/10/2523/10/25

Keywords

  • BCI
  • EEG
  • Multifractals
  • VR

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