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

Affordable 4-Channel EEG Bio-signal Amplifier

Authors

  • Laiba Farooq NED University of Engineering & Technology
  • Muhammad Danish Mujib NED University of Engineering & Technology
  • Ahmad Zahid Rao NED University of Engineering & Technology https://orcid.org/0000-0002-0301-1309
  • Fazila Farooq NED University of Engineering & Technology
  • Abdul Wadood NED University of Engineering & Technology
  • Sijil Zehra NED University of Engineering & Technology
  • Muhammad Farooq Usmani NED University of Engineering & Technology
  • Muhammad Abul Hasan NED University of Engineering & Technology

Keywords:

Brain, Encephalogram, Health Technology, Prototype

Abstract

Background: 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.

Methodology: 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.

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.

Conclusion: 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.

DOI: https://doi.org/10.59564/amrj/02.02/025

Author Biographies

Laiba Farooq, NED University of Engineering & Technology

Department of Biomedical Engineering

Muhammad Danish Mujib, NED University of Engineering & Technology

Department of Biomedical Engineering

Ahmad Zahid Rao, NED University of Engineering & Technology

Department of Biomedical Engineering

Fazila Farooq, NED University of Engineering & Technology

Department of Biomedical Engineering

Abdul Wadood, NED University of Engineering & Technology

Department of Biomedical Engineering

Sijil Zehra, NED University of Engineering & Technology

Department of Biomedical Engineering

Muhammad Farooq Usmani, NED University of Engineering & Technology

Department of Biomedical Engineering

Muhammad Abul Hasan, NED University of Engineering & Technology

Department of Biomedical Engineering

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Published

06/30/2024

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Section

Interventions on Clinical Utility

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