ECG-based epileptic seizure prediction: Challenges of current data-driven models.

ABSTRACT:

Objective

Up to a third of patients with epilepsy fail to achieve satisfactory seizure control. A reliable method of predicting seizures would alleviate psychological and physical impact. Dysregulation in heart rate variability (HRV) has been found to precede epileptic seizures and may serve as an extracerebral predictive biomarker. This study aims to identify the preictal HRV dynamics and unveil the factors impeding the clinical application of ECG-based seizure prediction.

Methods

Thirty-nine adult patients (eight women; median age: 38, [IQR = 31, 56.5]) with 252 seizures were included. Each patient had more than three recorded epileptic seizures, each at least 2 hours apart. For each seizure, one hour of ECG prior to seizure onset was analyzed and 97 HRV features were extr

SUBMITTER: Kalousios S 

PROVIDER: S-EPMC11803288 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature