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...
Saved in:
| 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: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fneur.2025.1555162/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Identification of Relevant ECG Features for Epileptic Seizure Prediction Using Interpretable Machine Learning
by: Azra Abtahi, et al.
Published: (2025-01-01) -
Management of patients with single and rare epileptic seizures
by: A. S. Kotov
Published: (2020-09-01) -
Definition and classification of epilepsy. Classification of epileptic seizures 2016
by: K. Yu. Mukhin
Published: (2017-04-01) -
Symptomatic Epileptic Seizures in Patients with Brain Gliomas
by: D. I. Abzalova, et al.
Published: (2021-11-01) -
Epileptic seizure: always trouble or sometimes deliverance?
by: V. A. Karlov
Published: (2020-07-01)