Title
Estimation of the maximal heart rate to improve online tonic-clonic seizure detection using ECG Estimation of the maximal heart rate to improve online tonic-clonic seizure detection using ECG
Author
Faculty/Department
Faculty of Medicine and Health Sciences
Publication type
conferenceObject
Publication
New york :Ieee ,
Subject
Computer. Automation
Source (journal)
2015 COMPUTING IN CARDIOLOGY CONFERENCE (CINC)
Source (book)
2015 Comp in Cardiol Conference (CinC), SEP 06-09, 2015, Comp in Cardiol 2015, Comp in Cardiol 2015, nice, FRANCE
Volume/pages
(2015) , p. 977-980
ISSN
2325-887X
ISBN
978-1-5090-0685-4
ISI
000380374700246
Carrier
E
Target language
English (eng)
Affiliation
University of Antwerp
Abstract
Previous studies have shown that during several types of seizures, the heart rate increases strongly towards a maximal patient-specific epileptic heart rate HRep. This ictal peak heart rate is one of the most important features for classifying epileptic heart rate increases. We therefore try to estimate HRep, which is done by using least squares support vector machines. The found estimation had a mean square error of 18bpm, which is an improvement compared to age-based estimators. Adding this information to an online seizure detector led to an increased performance (F1-score: 14.65% to 18.72%) with a decreased detection delay (23.8s to 11.9s).
E-info
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000380374700246&DestLinkType=RelatedRecords&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000380374700246&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=ef845e08c439e550330acc77c7d2d848
Full text (open access)
https://repository.uantwerpen.be/docman/irua/ad2599/134999.pdf
Handle