Real Time Eye Blink Extraction Circuit Design from EEG Signal for ALS Patients

Abstract

The paper explores the detail design of electroencephalogram (EEG) based eye blink circuit module for Amyotrophic Lateral Sclerosis (ALS) patients using the Multisim Circuit design software. The EEG gives information about physiological function. It is the recording of electrical activity of the brain waves. The brain wave signal is a random, frequency domain and non-stationary signal. It is not easy to get the information from EEG signals in the time domain. Some biological artifacts (Eye blink artifacts, EMG artifacts and ECG) and technical artifacts (amplitude artifact, noise present in the power source artifact etc.) are the some artifacts in EEG signals. Eye blinks is considered as one of the important artifact for feature extraction of EEG signal. Hence, Eye blinks act as control or input signal in this paper. The goal of this paper is tracking an eye blink of a person from EEG signal sequences and extracts only intentionally eye blinks. In this work the patient EEG data is acquired, amplified and filtered. The filtered data is compared with the reference voltage level of the eye blink signal. In this way the eye blinks are extracted from ALS patient EEG data. Thus, The EEG based eye blink extraction circuit for ALS patient has been successfully designed and simulated on Multisim circuit design software. The future goal is to establish a communication channel for the patents suffering from motor disabilities using this biological artifact.