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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Shaoqiang Wang, Shudong Wang, Song Zhang, Yifan Wang
Μορφή: Άρθρο
Γλώσσα:English
Έκδοση: SpringerOpen 2020-10-01
Σειρά:EURASIP Journal on Wireless Communications and Networking
Θέματα:
Artificial intelligence
Deep learning
Epilepsy detection
Time-ResNeXt
Διαθέσιμο Online:http://link.springer.com/article/10.1186/s13638-020-01810-5

Διαδίκτυο

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

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