Multi-task transformer network for subject-independent iEEG seizure detection

Subject-independent seizure detection algorithms are typically grounded in scalp electroencephalogram (EEG) databases, due to standardized channels and locations of EEG electrodes. Intracranial EEG (iEEG) has the characteristics of low noise and high temporal resolution compared with scalp EEG. Howe...

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Bibliographic Details

Published in:	Expert systems with applications Vol. 268; p. 126282
Main Authors:	Sun, Yulin, Cheng, Longlong, Si, Xiaopeng, He, Runnan, Pereira, Tania, Pang, Meijun, Zhang, Kuo, Song, Xin, Ming, Dong, Liu, Xiuyun
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 05.04.2025
Subjects:	Channel-wise mixup Intracranial EEG Multi-task learning Seizure detection Subject-independent Transformer network Transformer network Intracranial EEG Channel-wise mixup Seizure detection Multi-task learning Subject-independent
ISSN:	0957-4174
Online Access:	Get full text
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