Design of EOG Signal Acquisition System Using Virtual Instrumentation

Author:

D'Souza Sandra1,Sriraam N.2

Affiliation:

1. Research Scholar, SCSVMV University, Kanchipuram, Tamil Nadu, India & Department of Instrumentation and Control Engineering, Manipal Institute of Technology (M.I.T), Manipal, Karnataka, India

2. Centre for Medical Electronics and Computing, M.S. Ramaiah Institute of Technology, Bangalore, Karnataka, India

Abstract

The design and development of cost effective rehabilitation aids is a challenging task for biomedical research community. The biopotentials such as EEG, EMG, ECG and EOG that are generated from human body help in controlling the external electronic devices. In the recent years, the EOG based assistive devices have gained importance in assisting paralyzed patients, due to their ability to perform operations controlled by retinal movements. This paper proposes a cost effective design and development of EOG signal acquisition system using virtual instrumentation. The hardware design comprises of two instrumentation amplifiers using AD620 for registering horizontal and vertical eye movements and filter circuits. A virtual instrumentation based front panel is designed to interface the hardware and to display the EOG signals. The resultant digitized EOG signal is further enhanced for driving assistive devices. The proposed EOG system makes use of virtual instrumentation and hence minimizes the design cost and increases the flexibility of the instrument. This paper presents the initial part of the research work which is aiming at a cost effective complete assistive device based on extracting the useful information from the eye movements. The qualitative validation of EOG signals recorded ensures the cost effective healthcare delivery for rehabilitation applications.

Publisher

IGI Global

Subject

General Engineering

Reference14 articles.

1. Analog Devices. Data sheets, Low cost low power instrumentation amplifier, from https:// www.analog.com/data_sheets/AD620.pdf

2. System for assisted mobility using eye movements based on electrooculography

3. The camera mouse: Visual tracking of body features to provide computer access for people with severe disabilities;M.Betke;IEEE Transactions on Rehabilitation Engineering,2000

4. Carter, B. (2001). Filter design in thirty seconds, Texas Instruments (Application Report, SLOA093).

5. Design and Development of a Novel EOG Biopotential Amplifier;S. R.Choudhury;IJBEM,2005

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1. Electrooculography: A Proposed Methodology for Sensing Human Eye Movement;XXVII Brazilian Congress on Biomedical Engineering;2022

2. Driven Wheelchair Design and Implementation Using EOG Signals;2020 International Symposium on Fundamentals of Electrical Engineering (ISFEE);2020-11-05

3. Feature Based Reading Skill Analysis Using Electrooculogram Signals;Advanced Computing and Communication Technologies;2016

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