@article {2242,
	title = {Advances in the application of technology to epilepsy: the CIMIT/NIO Epilepsy Innovation Summit.},
	journal = {Epilepsy Behav},
	volume = {16},
	year = {2009},
	month = {09/2009},
	pages = {3-46},
	abstract = {<p><span style="font-family: arial, helvetica, clean, sans-serif; font-size: 13px; line-height: 17px;">In 2008, a group of clinicians, scientists, engineers, and industry representatives met to discuss advances in the application of engineering technologies to the diagnosis and treatment of patients with epilepsy. The presentations also provided a guide for further technological development, specifically in the evaluation of patients for epilepsy surgery, seizure onset detection and seizure prediction, intracranial treatment systems, and extracranial treatment systems. This article summarizes the discussions and demonstrates that cross-disciplinary interactions can catalyze collaborations between physicians and engineers to address and solve many of the pressing unmet needs in epilepsy.</span></p>},
	keywords = {Adult, Anticonvulsants, Brain Mapping, Child, Drug Resistance, Electric Stimulation Therapy, Electroencephalography, Engineering, Epilepsy, Humans, Magnetic Resonance Imaging, Medical Laboratory Science, Microelectrodes, Nanoparticles, Neurons, Neurosurgery, Neurotoxins, Predictive Value of Tests, Seizures, Spectroscopy, Near-Infrared, Tomography, Emission-Computed, Single-Photon, Tomography, Optical, Transcranial Magnetic Stimulation},
	issn = {1525-5069},
	doi = {10.1016/j.yebeh.2009.06.028},
	url = {http://www.ncbi.nlm.nih.gov/pubmed/19780225},
	author = {Schachter, Steven C and Guttag, John and Schiff, Steven J and Schomer, Donald L}
}
@article {2844,
	title = {Narrowband vs. broadband phase synchronization analysis applied to independent components of ictal and interictal EEG.},
	journal = {Conf Proc IEEE Eng Med Biol Soc},
	volume = {2007},
	year = {2007},
	month = {08/2007},
	pages = {3864-7},
	abstract = {This paper presents a comparison of the use of broadband and narrow band signals for phase synchronization analysis as applied to Independent Components of ictal and interictal scalp EEG in the context of seizure onset detection and prediction. Narrow band analysis for phase synchronization is found to be better performed in the present context than the broad band signal analysis. It has been observed that the phase synchronization of Independent Components in a narrow band (particularly the Gamma band) shows a prominent trend of increasing and decreasing synchronization at seizure onset near the epileptogenic area (spatially). This information is not always found to be consistent in analysis with the raw EEG signals, which may show spurious synchronization happening due to volume conduction effects. These observations lead us to believe that tracking changes in phase synchronization of narrow band activity, on continuous data records will be of great value in the context of seizure prediction.},
	keywords = {Algorithms, Electroencephalography, Humans, Predictive Value of Tests, Seizures, Signal Processing, Computer-Assisted},
	issn = {1557-170X},
	doi = {10.1109/IEMBS.2007.4353176},
	url = {http://www.ncbi.nlm.nih.gov/pubmed/18002842},
	author = {Disha Gupta and Christopher J James}
}
