Affordable Design and Implementation of a 4-Channel EEG Bio-signal Amplification System with Mobile App Visualization Interface

• Laiba Farooq, Muhammad Danish Mujib, Ahmad Zahid Rao, Fazila Farooq, Abdul Wadood, Sijil Zehra, Muhammad Farooq Usmani, Muhammad Abul Hasan

Electroencephalogram (EEG) is a non-invasive, real-time visualization of the brain’s electrical activity to detect any abnormalities in the nervous system before the onset of critical conditions. Therefore, this project aimed to design a cost-effective, high-accuracy, and user-friendly EEG monitoring system to monitor brain activity.The functional prototype was developed at NED University, Pakistan. Initially, electrodes were selected for optimal signal acquisition. An instrumentation amplifier with high differential gain was employed at the preamplification stage due to the low amplitude of the acquired signals. 5th order Butterworth Band-pass filters were designed for the filtration of the signal. Subsequently, a driving circuit was designed to reject all the common-mode signals. Upon competition of the design for all the blocks, the circuit was transferred onto a Printed circuit board for further analysis and validation of results.The developed device was able to measure brain activity accurately. Real-time data was wirelessly transmitted through Bluetooth that can be visualized on cell phones. The device was significantly cost-effective compared to commercially available products.The developed system offers a cost-effective solution for real-time EEG monitoring. The final prototype successfully detected, filtered and amplified EEG signals, acquired from the body. Utilizing Bluetooth technology, the processed signals were displayed on a mobile application, thereby providing an affordable solution for monitoring brain activity.