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...

Deskribapen osoa

Xehetasun bibliografikoak
Egile Nagusiak: Shaoqiang Wang, Shudong Wang, Song Zhang, Yifan Wang
Formatua: Artikulua
Hizkuntza:English
Argitaratua: SpringerOpen 2020-10-01
Saila:EURASIP Journal on Wireless Communications and Networking
Gaiak:
Artificial intelligence
Deep learning
Epilepsy detection
Time-ResNeXt
Sarrera elektronikoa: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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