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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Bibliografiska uppgifter
Huvudupphovsmän: Shaoqiang Wang, Shudong Wang, Song Zhang, Yifan Wang
Materialtyp: Artikel
Språk:English
Publicerad: SpringerOpen 2020-10-01
Serie:EURASIP Journal on Wireless Communications and Networking
Ämnen:
Artificial intelligence
Deep learning
Epilepsy detection
Time-ResNeXt
Länkar:http://link.springer.com/article/10.1186/s13638-020-01810-5

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