Multimodal data analysis of epileptic EEG and rs-fMRI via deep learning and edge computing

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Mohammad-Parsa Hosseini, Tuyen X. Tran, Dario Pompili, Kost V. Elisevich, Hamid Soltanian-Zadeh

Published: 2020, Last Modified: 28 Jan 2026Artif. Intell. Medicine 2020EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•An edge computing framework for real-time and ubiquitous processing of medical big data such as EEG, iEEG and fMRI.•Multimodal data analysis method for localization and prediction of epileptogenicity using independently acquired EEG and rs-fMRI data.•An unsupervised feature extraction model for identification of preictal and non-preictal time intervals in electrographic data via CNN deep learning.•Multimodal analysis of rs-fMRI and EEG via LSTM deep learning.