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Seizure prediction: Methods

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dc.contributor.authorCarney, Paul R.
dc.contributor.authorMyers, Stephen
dc.contributor.authorGeyer, James D.
dc.contributor.otherUniversity of Florida
dc.contributor.otherUniversity of Alabama Tuscaloosa
dc.date.accessioned2023-09-28T20:40:13Z
dc.date.available2023-09-28T20:40:13Z
dc.date.issued2011
dc.description.abstractEpilepsy, one of the most common neurological diseases, affects over 50 million people worldwide. Epilepsy can have a broad spectrum of debilitating medical and social consequences. Although antiepileptic drugs have helped treat millions of patients, roughly a third of all patients have seizures that are refractory to pharmacological intervention. The evolution of our understanding of this dynamic disease leads to new treatment possibilities. There is great interest in the development of devices that incorporate algorithms capable of detecting early onset of seizures or even predicting them hours before they occur. The lead time provided by these new technologies will allow for new types of interventional treatment. In the near future, seizures may be detected and aborted before physical manifestations begin. In this chapter we discuss the algorithms that make these devices possible and how they have been implemented to date. We also compare and contrast these measures, and review their individual strengths and weaknesses. Finally, we illustrate how these techniques can be combined in a closed-loop seizure prevention system. This article is part of a Supplemental Special Issue entitled The Future of Automated Seizure Detection and Prediction. (C) 2011 Elsevier Inc. All rights reserved.en_US
dc.format.mediumelectronic
dc.format.mimetypeapplication/pdf
dc.identifier.citationCarney, P. R., Myers, S., & Geyer, J. D. (2011). Seizure prediction: Methods. In Epilepsy & Behavior (Vol. 22, pp. S94–S101). Elsevier BV. https://doi.org/10.1016/j.yebeh.2011.09.001
dc.identifier.doi10.1016/j.yebeh.2011.09.001
dc.identifier.urihttps://ir.ua.edu/handle/123456789/11759
dc.languageEnglish
dc.language.isoen_US
dc.publisherElsevier
dc.subjectSeizure prediction
dc.subjectQuantitative electroencephalographic analysis
dc.subjectEpilepsy
dc.subjectSeizures
dc.subjectUnivariate methods
dc.subjectMultivariate methods
dc.subjectCEREBRAL-BLOOD-FLOW
dc.subjectEPILEPTIC SEIZURES
dc.subjectREAL-TIME
dc.subjectEEG
dc.subjectPREDICTABILITY
dc.subjectANTICIPATION
dc.subjectENERGY
dc.subjectONSET
dc.subjectBehavioral Sciences
dc.subjectClinical Neurology
dc.subjectPsychiatry
dc.titleSeizure prediction: Methodsen_US
dc.typeArticle
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