Conference Publication Details
Mandatory Fields
Temko, A;Thomas, E;Boylan, G;Marnane, W;Lightbody, G
2009 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-20
An SVM-Based System and Its Performance for Detection of Seizures in Neonates
2009
January
Validated
1
WOS: 12 ()
Optional Fields
EEG INFANTS
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.
Grant Details