mfERG_LAB: Software for processing multifocal electroretinography signals

Authors:
J. M. Miguel;L. Boquete;S. Ortega;C.AléN Cordero;R. Barea;R. Blanco
Affiliations:
Department of Electronics, Polytechnic School, University of Alcalá, Alcalá de Henares 28871, Spain;Department of Electronics, Polytechnic School, University of Alcalá, Alcalá de Henares 28871, Spain;Department of Electronics, Polytechnic School, University of Alcalá, Alcalá de Henares 28871, Spain;Department of Signal Theory and Communications, Polytechnic School, University of Alcalá, Alcalá de Henares 28871, Spain;Department of Electronics, Polytechnic School, University of Alcalá, Alcalá de Henares 28871, Spain;Department of Surgery, Faculty of Medicine, University of Alcalá, Alcalá de Henares 28701, Spain
Venue:
Computer Methods and Programs in Biomedicine
Year:
2012

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Abstract

The multifocal electroretinography technique consists of performing sectorized light excitation of the retina and capturing the resulting evoked potential. This provides functional localized information about the state of the retinal neurons. Analysis of multifocal electroretinography signals can be used for diagnosing different types of optic neuropathies (glaucomatous, demyelinating and ischemic ethiology). In order to obtain a reliable diagnosis, it is necessary to apply advanced processing algorithms (morphological, frequency and time-frequency analysis, etc.) to the multifocal electroretinography signal. This paper presents a software application developed in MATLAB^(R) (MathWorks Inc., MA) designed to perform advanced multifocal electroretinography signal analysis and classification. This intuitive application, mfERG_LAB, is used to plot the signals, apply various algorithms to them and present the data in an appropriate format. The application's computational power and modular structure make it suitable for use in clinical settings as a powerful and innovative diagnostic tool, as well as in research and teaching settings as a means of assessing new algorithms.