Department of Electronics, Polytechnic School, University of Alcalá, Alcalá de Henares 28871, Spain.
Comput Methods Programs Biomed. 2012 Oct;108(1):377-87. doi: 10.1016/j.cmpb.2012.02.013. Epub 2012 Apr 1.
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(®) (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.
多焦视网膜电图技术包括对视网膜进行扇形光激发，并捕获由此产生的诱发电位。这提供了关于视网膜神经元状态的功能局部信息。多焦视网膜电图信号的分析可用于诊断不同类型的视神经病变（青光眼、脱髓鞘和缺血性病因）。为了获得可靠的诊断，有必要将先进的处理算法（形态学、频率和时频分析等）应用于多焦视网膜电图信号。本文介绍了一个在 MATLAB(®)（MathWorks Inc.，MA）中开发的软件应用程序，用于执行先进的多焦视网膜电图信号分析和分类。这个直观的应用程序，mfERG_LAB，用于绘制信号，对它们应用各种算法，并以适当的格式呈现数据。该应用程序的计算能力和模块化结构使其适合在临床环境中用作强大的创新诊断工具，以及在研究和教学环境中用作评估新算法的手段。
