Modeling and Analysis of a Wirelessly Powered Closed-Loop Implant for Epilepsy

A system-level model of a wireless power and data transmission system with a closed-loop epileptic seizure detector and suppressor device for low-power implantable applications is proposed using the MATLAB Simulink software. The proposed system transmits power and bidirectional data through a single inductive link with a monitoring unit, and records high-resolution intracranial-EEG (iEEG) signals by multiple electrode channels. The recording signals are processed in the analog domain and feed a digital signal processing block to extract five time-domain features to detect the seizure onsets, using datasets from Inselspital Bern. Subsequently, a current-mode multi-channel electrical stimulator is activated according to the seizure detection signal and delivers the electrical pulses to the brain.