Personalizing Heart Rate-Based Seizure Detection Using Supervised SVM Transfer Learning-Reference-Cited by-同舟云学术

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Personalizing Heart Rate-Based Seizure Detection Using Supervised SVM Transfer Learning

Published:2020-02-26 Issue: Volume:11 Page:
ISSN:1664-2295
Container-title:Frontiers in Neurology
language:
Short-container-title:Front. Neurol.

Author:

De Cooman Thomas,Vandecasteele Kaat,Varon Carolina,Hunyadi Borbála,Cleeren Evy,Van Paesschen Wim,Van Huffel Sabine

Funder

Bijzonder Onderzoeksfonds

Fonds Wetenschappelijk Onderzoek

Agentschap Innoveren en Ondernemen

Belgisch Ontwikkelingsagentschap

Seventh Framework Programme

EIT Health

Publisher

Frontiers Media SA

Subject

Clinical Neurology,Neurology

Reference30 articles.

1. The epidemiology of epilepsy in Europe–a systematic review;Forsgren;Eur J Neurol,2005

2. Refractory epilepsy: clinical overview;French;Epilepsia.,2007

3. Seizure diaries for clinical research and practice: limitations and future prospects;Fisher;Epilepsy Behav.,2012

4. Views of patients with epilepsy on seizure prediction devices;Schulze-Bonhage;Epilepsy Behav,2010

5. Non-EEG seizure detection systems and potential SUDEP prevention: state of the art: review and update;Van;Seizure.,2016

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3. Non-electroencephalogram-based seizure detection devices: State of the art and future perspectives;Epilepsy & Behavior;2023-11

4. Importance of methodological choices in data manipulation for validating epileptic seizure detection models;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

5. Research on Valve Life Prediction Based on PCA-PSO-LSSVM;Processes;2023-05-05

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