Temko A, Thomas E, Boylan G, Marnane W, Lightbody G;

31st Annual International IEEE EMBS Conference

An SVM-based system and its performance for detection of seizures in neonates.

2009

January

Published

1

Scopus: 27 ()

2643

2646

This work presents a multi-channel patient-independent neonatal seizure detection system based on the SVM classifier. Several post-processing steps are proposed to increase temporal precision and robustness of the system and their influence on performance is shown. The SVM-based system is evaluated on a large clinical dataset using several epoch-based and event based metrics and curves of performance are reported. Additionally, a new metric to measure the average duration of a false detection is proposed to accompany the event-based metrics.

10.1109/IEMBS.2009.5332807