251. Analog Seizure Detection and Performance Evaluation.
- Author
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Bhavaraju, Naresh C., Frei, Mark G., and Osorio, Ivan
- Subjects
- *
EPILEPSY , *BRAIN diseases , *MENTAL illness , *ALGORITHMS , *FEASIBILITY studies , *THERAPEUTICS , *DEVELOPMENTAL disabilities , *MEDICAL care - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2006
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