TY  - CONF
  - Nagaraj, S.B., Stevenson, N.J., Marnane, W.P., Boylan, G., and Lightbody, G.,
  - 36th Annual International IEEE EMBS Conference
  - Robustness of Time Frequency Distribution based Features for Automated Neonatal EEG Seizure Detection
  - 2014
  - August
  - Published
  - 1
  - ()
  - 2829
  - 2832
  - Chicago, USA
  - 26-AUG-14
  - 30-AUG-14
  - In this paper we examined the robustness of a feature-set based on time-frequency distributions (TFDs) for neonatal EEG seizure detection. This feature-set was originally proposed in literature for neonatal seizure detection using a support vector machine (SVM). We tested the performance of this feature-set with a smoothed Wigner-Ville distribution and modified B distribution as the underlying TFDs. The seizure detection system using time-frequency signal and image processing features from the TFD of the EEG signal using modified B distribution was able to achieve a median receiver operator characteristic area of 0.96 (IQR 0.91–0.98) tested on a large clinical dataset of 826 h of EEG data from 18 full-term newborns with 1389 seizures. The mean AUC was 0.93.
  - 10.1109/EMBC.2014.6944212
  - Science Foundation Ireland
DA  - 2014/08
ER  - 

@inproceedings{V281186875,
   = {Nagaraj, S.B., Stevenson, N.J., Marnane, W.P., Boylan, G., and Lightbody, G.,},
   = {36th Annual International IEEE EMBS Conference},
   = {{Robustness of Time Frequency Distribution based Features for Automated Neonatal EEG Seizure Detection}},
   = {2014},
   = {August},
   = {Published},
   = {1},
   = {()},
  pages = {2829--2832},
   = {Chicago, USA},
  month = {Aug},
   = {30-AUG-14},
   = {{In this paper we examined the robustness of a feature-set based on time-frequency distributions (TFDs) for neonatal EEG seizure detection. This feature-set was originally proposed in literature for neonatal seizure detection using a support vector machine (SVM). We tested the performance of this feature-set with a smoothed Wigner-Ville distribution and modified B distribution as the underlying TFDs. The seizure detection system using time-frequency signal and image processing features from the TFD of the EEG signal using modified B distribution was able to achieve a median receiver operator characteristic area of 0.96 (IQR 0.91–0.98) tested on a large clinical dataset of 826 h of EEG data from 18 full-term newborns with 1389 seizures. The mean AUC was 0.93.}},
   = {10.1109/EMBC.2014.6944212},
   = {Science Foundation Ireland},
  source = {IRIS}
}