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BioMed Research International
Volume 2014, Article ID 503920, 8 pages
http://dx.doi.org/10.1155/2014/503920
Research Article

Chaotic Analysis of the Electroretinographic Signal for Diagnosis

Electrical Engineering Department, National Institute of Technology, Calicut, Kerala 673601, India

Received 24 February 2014; Accepted 23 May 2014; Published 15 June 2014

Academic Editor: Kevin Gregory-Evans

Copyright © 2014 Surya S. Nair and K. Paul Joseph. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Electroretinogram (ERG) is a time-varying potential which arises from different layers of retina. To be specific, all the physiological signals may contain some useful information which is not visible to our naked eye. However this subtle information is difficult to monitor directly. Therefore the ERG signal features which are extracted and analyzed using computers are highly useful for diagnosis. This work discusses the chaotic aspect of the ERG signal for the controls, congenital stationary night blindness (CSNB), and cone-rod dystrophy (CRD) classes. In this work, nonlinear parameters like Hurst exponent (HE), the largest Lyapunov exponent (LLE), Higuchi’s fractal dimension (HFD), and approximate entropy (ApEn) are analyzed for the three different classes. It is found that the measures like HE dimension and ApEn are higher for controls as compared to the other two classes. But LLE shows no distinguishable variation for the three cases. We have also analyzed the recurrence plots and phase-space plots which shows a drastic variation among the three groups. The results obtained show that the ERG signal is highly complex for the control groups and less complex for the abnormal classes with value less than 0.05.