Conference Publication Details
Mandatory Fields
Temko, A;Boylan, G;Marnane, W;Lightbody, G
2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Speech Recognition Features for EEG Signal Description in Detection of Neonatal Seizures
2010
January
Validated
1
WOS: 6 ()
Optional Fields
3281
3284
In this work, features which are usually employed in automatic speech recognition (ASR) are used for the detection of neonatal seizures in newborn EEG. Three conventional ASR feature sets are compared to the feature set which has been previously developed for this task. The results indicate that the thoroughly-studied spectral envelope based ASR features perform reasonably well on their own. Additionally, the SVM Recursive Feature Elimination routine is applied to all extracted features pooled together. It is shown that ASR features consistently appear among the top-rank features.
Grant Details