ELECTRORETINOGRAM (ERG) SIGNAL PROCESSING& ANALYSIS IN LABVIEW

UMASHANKAR¹*, M.S. PANSE²*
¹Department of Electronics, Veermata Jijabai Technological Institute Mumbai-400019, India
²Department of Electrical Engineering, Veermata Jijabai Technological Institute Mumbai-400019, India
* Corresponding Author : mspanse@vjti.org.in

Received : -     Accepted : -     Published : 15-12-2011
Volume : 1     Issue : 1       Pages : 1 - 5
Adv Med Informat 1.1 (2011):1-5

Non-invasive recordings of the retinalactivity have an important role to play in the diagnosis of retinal pathologies. Medical examination, based on the recordings of the electrical activity of human eye, to diagnose the state of the retina is called electroretinography. The clinical ERG is the recording of electrical potentials evoked by a flash of light and picked up at a distance i.e., at the cornea. For diagnostic purposes, an electrode is placed on the cornea and special kind of visual stimulus is presented to a patient. Depending on the stimulus parameters, different responses can be obtained. This paper aims to demonstrate the possibility of finding features reliable for more precise distinguishing between standard and abnormal Electroretinogram (ERG) recordings. Understanding the specific features (onset, time delay, amplitude, line shape) of the ERG components and their relationship represents the principal aim of past and present research in the field of ocular electrophysiology. ERG waveforms are simulated using National Instruments LabView graphical programming environment. Analysis is carried out to detect abnormalities. ERG belonging to a subject with abnormality called Achromatopsia (ACR) and ERG belonging to a subject with abnormality called Congenital Stationary Blindness (CSNB) are simulated and analyzed. The proposed system is readily usable low cost alternative to sophisticated costly equipments used in hospitals for the ERG signal analysis purpose. One of the purposes of this study was to develop a graphical interface, very easy to use by persons who are not well trained in computer use.

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