Estimation of the maximal heart rate to improve online tonic-clonic seizure detection using ECG
Faculty of Medicine and Health Sciences
New york :Ieee
2015 COMPUTING IN CARDIOLOGY CONFERENCE (CINC)
2015 Comp in Cardiol Conference (CinC), SEP 06-09, 2015, Comp in Cardiol 2015, Comp in Cardiol 2015, nice, FRANCE
, p. 977-980
University of Antwerp
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).