Date of Award
Master of Science in Engineering
Electrical and Computer Engineering
Dr. Ikhlas Abdel-Qadar
Dr. Janos L. Grantner
Dr. Muralidhar Ghantasala
Masters Thesis-Open Access
The Electro-encephalogram [EEG] recording systems play a major role in the Brain Computer Interface machines where the brainwave signals are given as controls. There is a considerable development in transmission of these signals onto different platforms based on the necessity and portability of applications. With the advent of wireless signal transmission protocols for the medical devices, there is an increased research in the domain of offsite patient monitoring applications.
This document describes the evolution prototype of the portable EEG acquisition system developed to acquire the human scalp signals via electrodes and display them on the Android mobile phone after pre-conditioning the raw EEG signals.
An analog circuit was developed to amplify the low amplitude brainwave scalp signals using the instrumentation amplifier and a band pass filter to eliminate the unwanted frequencies due to the surrounding noise sources. A microcontroller digital circuit was implemented to digitize the analog signals and transmit them onto the mobile using the Bluetooth module coupled to the microcontroller. An application was developed on the android platform to display the acquired signals. This prototype is validated by acquiring the EEG signals from a recruited subject by following the guidelines from HSIRB committee at WMU.
Dasari, Veerendra, "EEG Acquisition System on Mobile Platform" (2013). Master's Theses. 118.