TY - GEN
T1 - A comparison of generative and discriminative approaches in automated neonatal seizure detection
AU - Thomas, E. M.
AU - Temko, A.
AU - Lightbody, G.
AU - Marnane, W. P.
AU - Boylan, G. B.
PY - 2009
Y1 - 2009
N2 - Two systems based on different classifiers are compared for the task of neonatal seizure detection. Support vector machines and Gaussian mixture models are presented as examples of discriminative and generative approaches to classification. The performance of both systems is assessed using a number of metrics, the results of which indicate that both systems are competitive with other detectors in the literature. Finally, misclassified events are analysed, from which specific patterns affecting the performance of the detector are identified.
AB - Two systems based on different classifiers are compared for the task of neonatal seizure detection. Support vector machines and Gaussian mixture models are presented as examples of discriminative and generative approaches to classification. The performance of both systems is assessed using a number of metrics, the results of which indicate that both systems are competitive with other detectors in the literature. Finally, misclassified events are analysed, from which specific patterns affecting the performance of the detector are identified.
UR - https://www.scopus.com/pages/publications/71249114068
U2 - 10.1109/WISP.2009.5286564
DO - 10.1109/WISP.2009.5286564
M3 - Conference proceeding
AN - SCOPUS:71249114068
SN - 9781424450596
T3 - WISP 2009 - 6th IEEE International Symposium on Intelligent Signal Processing - Proceedings
SP - 181
EP - 186
BT - WISP 2009 - 6th IEEE International Symposium on Intelligent Signal Processing - Proceedings
T2 - WISP 2009 - 6th IEEE International Symposium on Intelligent Signal Processing
Y2 - 26 August 2009 through 28 August 2009
ER -