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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Hlavní autoři:	Shaoqiang Wang, Shudong Wang, Song Zhang, Yifan Wang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	SpringerOpen 2020-10-01
Edice:	EURASIP Journal on Wireless Communications and Networking
Témata:	Artificial intelligence Deep learning Epilepsy detection Time-ResNeXt
On-line přístup:	http://link.springer.com/article/10.1186/s13638-020-01810-5
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