Analog seizure detection and performance evaluation.
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.
Bhavaraju
Naresh C
NC
Flint Hills Scientific LLC, Lawrence, KS 66049, USA. naresh@fsh.lawrence.ks.us
Frei
Mark G
MG
Osorio
Ivan
I
D000465:Algorithms; D000703:Analog-Digital Conversion; D003936:Diagnosis, Computer-Assisted / Q000295:instrumentation* / Q000379:methods*; D004569:Electroencephalography / Q000295:instrumentation* / Q000379:methods*; D004827:Epilepsy / Q000175:diagnosis; D004867:Equipment Design; D019544:Equipment Failure Analysis; D005240:Feasibility Studies; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods; D015203:Reproducibility of Results; D012189:Retrospective Studies; D012640:Seizures / Q000175:diagnosis*; D012680:Sensitivity and Specificity