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Analog seizure detection and performance evaluation.

Naresh C Bhavaraju·Mark G Frei·Ivan Osorio
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Abstract

Epilepsy is the most prevalent neurological disorder affecting both adults and children. Over two-and-one-half million individuals in the United States have epilepsy and 25% of them do not respond to drugs. A significant focus of current research efforts is the development of a fully implantable device for real-time seizure detection and automated warning and blockage of seizures. The purpose of this paper is to describe and demonstrate the feasibility of incorporating a novel tool, the percentile tracking filter into a successful, validated seizure detection algorithm to create an analog seizure detection device. We demonstrate, in a small-scale study, that the performance of this analog implementation is statistically similar to a digital implementation of a previously described and successfully validated seizure digital algorithm. This analog implementation can be realized into an application specific integrated circuit that is suitable for a fully implantable device for seizure monitoring, warning and treatment, which is likely to consume very little power, a feature of practical value.

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AlgorithmsAnalog-Digital ConversionDiagnosis, Computer-AssistedElectroencephalographyEpilepsyEquipment DesignEquipment Failure AnalysisFeasibility StudiesHumansPattern Recognition, AutomatedReproducibility of ResultsRetrospective StudiesSeizuresSensitivity and SpecificityComparative StudyEvaluation StudyJournal ArticleResearch Support, N.I.H., ExtramuralResearch Support, Non-U.S. Gov't

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Naresh C Bhavaraju, Mark G Frei, Ivan Osorio. 2006. Analog seizure detection and performance evaluation.. https://doi.org/10.1109/tbme.2005.862532

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