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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Dades bibliogràfiques
Autors principals: Shaoqiang Wang, Shudong Wang, Song Zhang, Yifan Wang
Format: Article
Idioma:English
Publicat: SpringerOpen 2020-10-01
Col·lecció:EURASIP Journal on Wireless Communications and Networking
Matèries:
Artificial intelligence
Deep learning
Epilepsy detection
Time-ResNeXt
Accés en línia:http://link.springer.com/article/10.1186/s13638-020-01810-5

Internet

http://link.springer.com/article/10.1186/s13638-020-01810-5

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