ArticleScientific reports2021
Heart rate variability analysis for the identification of the preictal interval in patients with drug-resistant epilepsy.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of non-invasive biomarkers for seizure forecasting in pediatric epilepsy patients.Frontiers in neurologyPooled it
- Distinct Subdivisions of the Cingulo-Insular Region and Their Role in Modulating the Cardiac Sympathetic-Parasympathetic Balance.Circulation. Arrhythmia and electrophysiology · 2026Observational
- Intersection of epilepsy and cardiac health: Insights from electrocardiography and syndromic associations.Epilepsia · 2025Review
- ECG-based epileptic seizure prediction: Challenges of current data-driven models.Epilepsia open · 2025Article
- The Interplay of Sports and Nutrition in Neurological Health and Recovery.Journal of clinical medicine · 2024Review
- Heart Rate Variability as a Tool for Seizure Prediction: A Scoping Review.Journal of clinical medicine · 2024Article
- Impaired brain-heart axis in focal epilepsy: Alterations in information flow and implications for seizure dynamics.Network neuroscience (Cambridge, Mass.) · 2024Article
- Patient-Specific Preictal Pattern-Aware Epileptic Seizure Prediction with Federated Learning.Sensors (Basel, Switzerland) · 2023Article
- ECG-Based Semi-Supervised Anomaly Detection for Early Detection and Monitoring of Epileptic Seizures.International journal of environmental research and public health · 2023Article
- Unsupervised EEG preictal interval identification in patients with drug-resistant epilepsy.Scientific reports · 2023Article
- PreEpiSeizures: description and outcomes of physiological data acquisition using wearable devices during video-EEG monitoring in people with epilepsy.Frontiers in physiology · 2023Article
- The connection between heart rate variability (HRV), neurological health, and cognition: A literature review.Frontiers in neuroscience · 2023Review
- The Challenging Path to Developing a Mobile Health Device for Epilepsy: The Current Landscape and Where We Go From Here.Frontiers in neurology · 2021Review
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electrocardiogram (ECG) recordings, lasting hours before epileptic seizures, have been studied in the search for evidence of the existence of a preictal interval that follows a normal ECG trace and precedes the seizure's clinical manifestation. The preictal interval has not yet been clinically parametrized. Furthermore, the duration of this interval varies for seizures both among patients and from the same patient. In this study, we performed a heart rate variability (HRV) analysis to investigate the discriminative power of the features of HRV in the identification of the preictal interval. HRV information extracted from the linear time and frequency domains as well as from nonlinear dynamics were analysed. We inspected data from 238 temporal lobe seizures recorded from 41 patients with drug-resistant epilepsy from the EPILEPSIAE database. Unsupervised methods were applied to the HRV feature dataset, thus leading to a new perspective in preictal interval characterization. Distinguishable preictal behaviour was exhibited by 41% of the seizures and 90% of the patients. Half of the preictal intervals were identified in the 40 min before seizure onset. The results demonstrate the potential of applying clustering methods to HRV features to deepen the current understanding of the preictal state.
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