@article {2845,
	title = {Seizure prediction for epilepsy using a multi-stage phase synchrony based system.},
	journal = {Conf Proc IEEE Eng Med Biol Soc},
	volume = {2009},
	year = {2009},
	month = {09/2009},
	pages = {25-8},
	abstract = {Seizure onset prediction in epilepsy is a challenge which is under investigation using many and varied signal processing techniques. Here we present a multi-stage phase synchrony based system that brings to bear the advantages of many techniques in each substage. The 1(st) stage of the system unmixes continuous long-term (2-4 days) multichannel scalp EEG using spatially constrained Independent Component Analysis and estimates the long term significant phase synchrony dynamics of narrowband (2-8 Hz and 8-14 Hz) seizure components. It then projects multidimensional features onto a 2-D map using Neuroscale and evaluates the probability of predictive events using Gaussian Mixture Models. We show the possibility of seizure onset prediction within a prediction window of 35-65 minutes with a sensitivity of 65-100\% and specificity of 65-80\% across epileptic patients.},
	keywords = {Algorithms, Artificial Intelligence, Diagnosis, Computer-Assisted, Electroencephalography, Epilepsy, Humans, Pattern Recognition, Automated, Reproducibility of Results, Sensitivity and Specificity},
	issn = {1557-170X},
	doi = {10.1109/IEMBS.2009.5334898},
	url = {http://www.ncbi.nlm.nih.gov/pubmed/19965104},
	author = {Christopher J James and Disha Gupta}
}
