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Estimation of the Maximal Heart Rate to Improve Online Tonic-Clonic Seizure Detection using ECG

Book Contribution - Book Chapter Conference Contribution

© 2015 CCAL. 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).
Book: Proc. of the 42nd Annual Computing in Cardiology
Pages: 977 - 980
ISBN:9781509006854
Publication year:2015
BOF-keylabel:yes
IOF-keylabel:yes
Authors from:Government, Higher Education
Accessibility:Closed