System-Level Modeling of a Safe Autonomous Closed-loop Epileptic Seizure Control Implant

Abstract

A system-level model of a closed-loop epilepsy control implant is designed and simulated using the Simulink software for the first time in this work. The proposed model consists of multi-channel signal acquisition, ADC, seizure detector, multi-channel electrical stimulator, temperature sensor, wireless data and power transmission blocks. The power dissipation and temperature elevation of implants are crucial parameters which must be precisely controlled to ensure the safety of patients. The system is optimized to offer a low-power design. In addition, the controller of the system modifies the stimulation parameters to maintain the temperature elevation at the tissue within 1°C. Intracranial EEG (iEEG) datasets of five patients from the Inselspital Bern are used to evaluate the performance of the presented system. A two-stage seizure detection method used in the bio-signal processor enables achieving accurate detection with an energy efficient-approach.