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Arxiv
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An Empirical Investigation of Reconstruction-Based Models for Seizure Prediction from ECG Signals
- Epileptic seizures can be predicted using ECG signals as an alternative to EEG signals.
- A novel method based on detecting anomalies in ECG signals during their reconstruction was proposed.
- The method achieved specificity of 99.16%, accuracy of 76.05%, and a low false positive rate.
- ECG-based seizure prediction has the potential to be a patient-friendly alternative to EEG-based methods.
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