Heart rate variability-based detection of epileptic seizures: Machine learning analysis and characterization of discriminant metrics

The high FAR suggests to combine HR and HRV analysis with other metrics to increase specificity.

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Publication Details

Journal
Clinical Neurophysiology
Published
2025-06-16
DOI
https://doi.org/10.1016/j.clinph.2025.2110793
Citations
3
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
4.29
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article

Heart rate variability-based detection of epileptic seizures: Machine learning analysis and characterization of discriminant metrics

William Gacquer, William Szurhaj, Simone Chen, Carole Nouboue et al.
3 citations
Clinical Neurophysiology
EEG and Brain-Computer Interfaces
4.29
article

Heart rate variability-based detection of epileptic seizures: Machine learning analysis and characterization of discriminant metrics

William Gacquer, William Szurhaj, Simone Chen, Carole Nouboue, Julien De Jonckheere, Philippe Derambure, Bertille Périn, Eva Diab, Mélodie Mercier-Bryczman
article en
3 citations

Abstract

The high FAR suggests to combine HR and HRV analysis with other metrics to increase specificity.

Clinical NeurophysiologyVol. 177
Inserm (FR), Université de Lille (FR), Centre Hospitalier Universitaire Amiens-Picardie (FR), Clinical Investigation Center Plurithematic Tours (FR), Université de Picardie Jules Verne (FR)
Reduced inequalities
Openalex Percentile: Top 6%
EEG and Brain-Computer Interfaces
4.29
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