TY - GEN
T1 - Combining newborn EEG and HRV information for automatic seizure detection
AU - Malarvili, M. B.
AU - Mesbah, M.
PY - 2008
Y1 - 2008
N2 - We propose a new seizure detection framework based on combination of information extracted from newborn multi-channel electroencephalogram (EEG) and heart rate variability (HRV). Two approaches are investigated for the combination of EEG and HRV, namely; feature fusion and classifier/decision fusion. The feature fusion was performed by concatenating the features vectors extracted from the EEG and the HRV signals while the classifier fusion was accomplished by fusing the independent decisions from individual classifiers of EEG and HRV. Both proposed schemes consist of a sequence of processing steps, namely; preprocessing, feature extraction, feature selection and finally the combination. We have shown that both proposed approaches lead to improved performance of newborn seizure detection compared to either EEG or HRV based seizure detectors.
AB - We propose a new seizure detection framework based on combination of information extracted from newborn multi-channel electroencephalogram (EEG) and heart rate variability (HRV). Two approaches are investigated for the combination of EEG and HRV, namely; feature fusion and classifier/decision fusion. The feature fusion was performed by concatenating the features vectors extracted from the EEG and the HRV signals while the classifier fusion was accomplished by fusing the independent decisions from individual classifiers of EEG and HRV. Both proposed schemes consist of a sequence of processing steps, namely; preprocessing, feature extraction, feature selection and finally the combination. We have shown that both proposed approaches lead to improved performance of newborn seizure detection compared to either EEG or HRV based seizure detectors.
UR - http://www.scopus.com/inward/record.url?scp=61849109313&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=61849109313&partnerID=8YFLogxK
U2 - 10.1109/iembs.2008.4650276
DO - 10.1109/iembs.2008.4650276
M3 - Conference contribution
C2 - 19163779
AN - SCOPUS:61849109313
SN - 9781424418152
T3 - Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"
SP - 4756
EP - 4759
BT - Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
PB - IEEE Computer Society
T2 - 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
Y2 - 20 August 2008 through 25 August 2008
ER -