Time-ResNeXt for epilepsy recognition based on EEG signals in wireless networks

Time-ResNeXt for epilepsy recognition based on EEG signals in wireless networks

Abstract To automatically detect dynamic EEG signals to reduce the time cost of epilepsy diagnosis. In the signal recognition of electroencephalogram (EEG) of epilepsy, traditional machine learning and statistical methods require manual feature labeling engineering in order to show excellent results...

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Dettagli Bibliografici
Autori principali:	Shaoqiang Wang, Shudong Wang, Song Zhang, Yifan Wang
Natura:	Articolo
Lingua:	English
Pubblicazione:	SpringerOpen 2020-10-01
Serie:	EURASIP Journal on Wireless Communications and Networking
Soggetti:	Artificial intelligence Deep learning Epilepsy detection Time-ResNeXt
Accesso online:	http://link.springer.com/article/10.1186/s13638-020-01810-5

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