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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Veröffentlicht in:	Expert systems with applications Jg. 268; S. 126282
Hauptverfasser:	Sun, Yulin, Cheng, Longlong, Si, Xiaopeng, He, Runnan, Pereira, Tania, Pang, Meijun, Zhang, Kuo, Song, Xin, Ming, Dong, Liu, Xiuyun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 05.04.2025
Schlagworte:	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-Zugang:	Volltext
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