An Energy Efficient Epileptic Seizure Detector

Epilepsy is one of the most common neurological disorders affecting up to 1% of the world's population and approximately 2.5 million people in the United States. Seizures in more than 30% of epilepsy patients are resistant to anti-epileptic drugs. A significant biomedical research is focused on the development of an energy efficient implantable integrated circuit for real-time detection of seizures. In this paper we propose an architecture for an implantable seizure detector using a hyper-synchronous signal detection circuit and signal rejection algorithm (SRA). The proposed seizure detector (SD) continuously monitors neural signals for hyper-synchronous pulses and extracts the seizure onset signal. If the pulses in an epoch exceed a threshold value, a seizure is declared. The design was validated using Simulink (R). The signal rejection algorithm (SRA) reduces false detection and minimal circuitry leads to a 12% reduction of power consumption.