@inproceedings{c523465b9e3142e88b7422ff21ed2b25,
title = "A BCI Framework Using Multifractal Detrended Fluctuation Analysis for EEG Feature Extraction",
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.",
keywords = "BCI, EEG, Multifractals, VR",
author = "Owais, \{Waleed Bin\} and Anant Sharma and Jelinek, \{Herbert F.\} and Elfadel, \{Ibrahim Abe M.\}",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; IEEE International Conference on E-health Networking, Applications and Services, IEEE HealthCom 2025 ; Conference date: 21-10-2025 Through 23-10-2025",
year = "2025",
doi = "10.1109/HealthCom60686.2025.11342804",
language = "English",
series = "2025 IEEE International Conference on E-health Networking, Application and Services, Healthcom 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2025 IEEE International Conference on E-health Networking, Application and Services, Healthcom 2025",
address = "United States",
}