Publication
Title
Estimation of the maximal heart rate to improve online tonic-clonic seizure detection using ECG
Author
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).
Language
English
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
Publication
New york : Ieee, 2015
Volume/pages
(2015), p. 977-980
ISI
000380374700246
Number
978-1-5090-0685-4
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 02.09.2016
Last edited 22.07.2017
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