Online seizure detection in adults with temporal lobe epilepsy using single-lead ECG

Author

De Cooman, T. ; Carrette, E. ; Boon, P. ; Meurs, A. ; Van Huffel, Sabine

Author_Institution

Dept. of Electr. Eng.-ESAT, KU Leuven, Leuven, Belgium

fYear

2014

fDate

1-5 Sept. 2014

Firstpage

1532

Lastpage

1536

Abstract

In this paper, a patient-independent algorithm for online epileptic seizure detection using only single-lead ECG is proposed. It is tested on 300h of data from adults with temporal lobe epilepsy. The features are extracted from a period of linear increase of the heart rate, which typically occurs in this kind of patients. These features are classified by two different classifiers: linear support vector machine (LSVM) and linear discriminant analysis (LDA). The best performance is found for LDA with a sensitivity of 80.0%, a PPV of 40.5% and an average detection delay of 31.5s, which are satisfactory results for online usage in monitoring or warning systems.

Keywords

diseases; electrocardiography; feature extraction; patient monitoring; patient treatment; support vector machines; LDA; LSVM; adults; feature extraction; heart rate; linear discriminant analysis; linear support vector machine; monitoring system; online epileptic seizure detection; patient-independent algorithm; patients; single-lead ECG; temporal lobe epilepsy; warning system; Delays; Electrocardiography; Epilepsy; Feature extraction; Heart rate; Sensitivity; Training; ECG; LDA; LSVM; Temporal lobe epilepsy; online seizure detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European

Conference_Location

Lisbon

Type

conf

Filename

6952546