Neural network-based method for measuring the impacts of epileptic brain activities on cardiac cycles

Neural network-based method for measuring the impacts of epileptic brain activities on cardiac cycles

Although electroencephalogram (EEG) is widely used to monitor brain activity in epilepsy, limitations related to the accessibility and reproducibility of measurements may restrict its everyday use. Conversely, wearable methods, easily accessible, such as electrocardiogram (ECG), represent an alterna...

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Bibliographic Details
Main Authors: Cândida H. L. Alves, Gilberto S. Alves, Rômulo Kunrath, Mariélia Barbosa L. de Freitas, João Pedro G. Castor, Allan Kardec Barros, Diego Dutra Sampaio, Jonathan Araújo Queiroz
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Neurology
Subjects:
epilepsy
seizures
machine learning
ECG
heart rate variability
neural network
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2025.1555162/full
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https://www.frontiersin.org/articles/10.3389/fneur.2025.1555162/full

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