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

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

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_baa11bff3d794613be58db1fd1e75ab8

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

About this item

Full title

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

Publisher

United States: John Wiley & Sons, Inc

Journal title

Epilepsia open, 2025-02, Vol.10 (1), p.143-154

Language

English

Formats

Publication information

Publisher

United States: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

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 a...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_baa11bff3d794613be58db1fd1e75ab8

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_baa11bff3d794613be58db1fd1e75ab8

Other Identifiers

ISSN

2470-9239

E-ISSN

2470-9239

DOI

10.1002/epi4.13073

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