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Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting. (arXiv:2201.08780v1 [cs.LG])
Web: http://arxiv.org/abs/2201.08780
Jan. 24, 2022, 2:10 a.m. | Kwanhyung Lee, Hyewon Jeong, Seyun Kim, Donghwa Yang, Hoon-Chul Kang, Edward Choi
cs.LG updates on arXiv.org arxiv.org
Electroencephalogram (EEG) is an important diagnostic test that physicians
use to record brain activity and detect seizures by monitoring the signals.
There have been several attempts to detect seizures and abnormalities in EEG
signals with modern deep learning models to reduce the clinical burden.
However, they cannot be fairly compared against each other as they were tested
in distinct experimental settings. Also, some of them are not trained in
real-time seizure detection tasks, making it hard for on-device applications.
Therefore …
More from arxiv.org / cs.LG updates on arXiv.org
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