Design a single channel EEG system and processing the corresponding signals using HMM

Abstract

The idea of brain computer interface solves the problems of the disables by analyzing their brain signals , these signals are acquired in the form of electroencephalogram signals and then processed by the computer which controls other devices. The project aims to design a hardware device that is able to acquire the brain signals related to motor imagination with minimal noise effects. Then these signals are analyzed using discrete hidden markov model with the help of fuzzy c-means clustering and discrete cosine transform. The result show that we were able to distinguish between silence state, left and right movement with high acceptable response time and low error rate. These result urge us to build a system in the simulink to perform a real-time processing.