• Corpus ID: 246210355

Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting

@inproceedings{Lee2022RealTimeSD,
  title={Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting},
  author={Kwanhyung Lee and Hyewon Jeong and Seyun Kim and Donghwa Yang and Hoon-Chul Kang and Edward Choi},
  booktitle={CHIL},
  year={2022}
}
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… 

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