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℃. 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.

Files 

Two MATLAB codes and two Simulink models are uploaded in conjunction with the paper

How To use

Carefully read the paper to become familiar with different parameters of the design. The MATLAB codes and Simulink Models are given. To provide the system parameters used in the Simulink model, you need to first run the corresponding MATLAB code. Then, the Simulink model would be ready to be used.