Identification of Relevant ECG Features for Epileptic Seizure Prediction Using Interpretable Machine Learning

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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Bibliographic Details
Main Authors: Azra Abtahi, Philippe Ryvlin, Amir Aminifar
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Electrocardiogram (ECG)
epilepsy
interpretability
explainable machine learning
multifractality
seizure prediction
Online Access:https://ieeexplore.ieee.org/document/11052221/
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