Identification of Relevant ECG Features for Epileptic Seizure Prediction Using Interpretable Machine Learning
Epileptic seizure prediction holds the potential to enhance the quality of life for individuals with epilepsy by enabling the possibility of timely administration of medication and first aid, as well as preventing subsequent accidents. In this paper, we consider the well-established Heart Rate Varia...
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| Main Authors: | Azra Abtahi, Philippe Ryvlin, Amir Aminifar |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11052221/ |
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