Reconstruction-based anomaly detection on ECG time-frequency features yields 99.16% specificity, 76.05% accuracy, 0.01/h FPR, and 45-minute average prediction horizon on the Siena database.
Electrocar- diographic changes associated with epilepsy beyond heart r ate and their utilization in future seizure detection and forecasting methods
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An Empirical Investigation of Reconstruction-Based Models for Seizure Prediction from ECG Signals
Reconstruction-based anomaly detection on ECG time-frequency features yields 99.16% specificity, 76.05% accuracy, 0.01/h FPR, and 45-minute average prediction horizon on the Siena database.