Analog seizure detection and performance evaluation |
| |
Authors: | Bhavaraju Naresh C Frei Mark G Osorio Ivan |
| |
Affiliation: | Flint Hills Scientific LLC, Lawrence, KS 66049, USA. naresh@fsh.lawrence.ks.us |
| |
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. |
| |
Keywords: | |
本文献已被 PubMed 等数据库收录! |
|