A Wireless Universal Brain-Machine Interface (BMI) System for Epileptic Diseases

Abstract

This paper presents a wireless universal brain-machine interface (BMI) system. The proposed system integrates three main modules, including an electroencephalogram (EEG) signal analyzer, a neural stimulator, and a PC user interface. Its functionalities include EEG signal acquisition, digital signal processing, electrical stimulation and so on. It can continuously monitor EEG signal status in real time, quickly diagnose brain abnormal activities and correctly generate a proper stimulation if needed. In the EEG signal analyzer, the EEG signal acquisition pathway consists of a four-channel analog front-end featuring high gain and high CMRR. Under the control of an MCU, EEG data are transmitted to the PC in real time through a Bluetooth connection. Then the PC analyzes the EEG signals through the algorithm based on the new Teager energy operator and multiscale entropy. The neural stimulator can provide both positive and negative current stimulations which have programmable pulse width and frequency. Experiment results show that the neural stimulator can generate ±1 mA stimulation current output at ±5 V supply voltage.