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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Vydané v:	Expert systems with applications Ročník 268; s. 126282
Hlavní autori:	Sun, Yulin, Cheng, Longlong, Si, Xiaopeng, He, Runnan, Pereira, Tania, Pang, Meijun, Zhang, Kuo, Song, Xin, Ming, Dong, Liu, Xiuyun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 05.04.2025
Predmet:	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
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