Multimodal EEG-fNIRS Seizure Pattern Decoding Using Vision Transformer

Multimodal EEG-fNIRS Seizure Pattern Decoding Using Vision Transformer

Epilepsy has been analyzed through uni-modality non-invasive brain measurements such as electroencephalogram (EEG) signal, but identifying seizure patterns is more challenging due to the non-stationary nature of the brain activity and various non-brain artifacts. In this article, we leverage a visio...

Full description

Saved in:
Bibliographic Details
Main Authors: Rafat Damseh, Abdelhadi Hireche, Parikshat Sirpal, Abdelkader Nasreddine Belkacem
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of the Computer Society
Subjects:
Electroencephalogram (EEG)
functional near-infrared spectroscopy (fNIRS)
low-voltage fast activity (LVFA)
generalized spike-and-wave discharge (GSWD)
high-frequency oscillation (HFO)
epilepsy
Online Access:https://ieeexplore.ieee.org/document/10755173/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10755173/

Similar Items