Medmap: a powerful multichannel ELG recordings analyzer

2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 2001-10-25 DOI:10.1109/IEMBS.2001.1017211

A. Martínez, J. Millet, J. Chorro, A. Cebrián, M. Arredondo, I. Garcia

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引用次数: 3

Abstract

The study and analysis of multiple recording electrograms (ELG) in experimental models requires dedicated software for their processing. This software must be quick and efficient in manipulating the enormous amounts of recorded data. Furthermore, the software has to be easily extensible in order to introduce new work methods and analysis algorithms adapted to the needs of each research group. This has led us to develop a modular software package in which introduction of new functionalities will not require the development of a new program, resulting in considerable time savings. For development we chose MATLAB, an interactive program with high computing capabilities and powerful tools for graphic visualization. Being a standard platform, developed code can be easily modified and the functionality of any module can be optimised and/or altered at any time, allowing implementation of the latest scientific advances. This software has been conceived for many applications, although in this paper we focus our experience on the study of fibrillatory processes in experimental models where up to 256 electrograms have been recorded using a cardiac electrical system.

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Medmap:一个强大的多通道ELG录音分析仪

研究和分析实验模型中的多个记录电图(ELG)需要专门的软件进行处理。该软件必须快速有效地处理大量记录的数据。此外，该软件必须易于扩展，以便引入新的工作方法和分析算法，以适应每个研究小组的需要。这导致我们开发了一个模块化软件包，其中引入新功能不需要开发新程序，从而节省了大量的时间。为了开发，我们选择了MATLAB，一个具有高计算能力和强大的图形可视化工具的交互式程序。作为一个标准平台，开发的代码可以很容易地修改，任何模块的功能都可以随时优化和/或改变，从而实现最新的科学进展。该软件已被设想用于许多应用，尽管在本文中，我们将我们的经验集中在实验模型中对纤颤过程的研究上，其中使用心脏电系统记录了多达256个心电图。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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