Related Experiment Video
Updated: Jun 18, 2026

Application of an Amplitude-integrated EEG Monitor (Cerebral Function Monitor) to Neonates
Published on: September 6, 2017
An SVM-based system and its performance for detection of seizures in neonates
Andriy Temko1, Eoin Thomas, Geraldine Boylan
1Department of Electrical and Electronic Engineering and the Neonatal Brain Research Group, University College Cork, Ireland. andreyt@ucc.ie
Abstract:
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.
Related Concept Videos
Seizures: Classification
Seizures are typically classified into two main categories: focal and generalized seizures.
Focal Seizures
Focal seizures originate from specific regions of the brain. These seizures are further sub-classified into two types:
Seizures l: Introduction
Seizures ll: Types

