AI RESEARCH
An Empirical Investigation of Reconstruction-Based Models for Seizure Prediction from ECG Signals
arXiv CS.LG
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ArXi:2504.08381v2 Announce Type: replace-cross Epileptic seizures are transient neurological events characterized by abnormal and excessive neuron activity in the brain, which are often associated with measurable disturbances in the cardiovascular system. Traditionally, electroencephalogram (EEG) signals have served as the primary modality for seizure prediction due to their direct measurement of brain activity and high diagnostic precision. However, their cost, sensitivity to noise, and practical deployment constraints limit their applicability outside controlled clinical environments.