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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Bibliographic Details
Main Authors: Shaoqiang Wang, Shudong Wang, Song Zhang, Yifan Wang
Format: Article
Language:English
Published: SpringerOpen 2020-10-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Artificial intelligence
Deep learning
Epilepsy detection
Time-ResNeXt
Online Access: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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