Suppr超能文献

基于Excel的动作电位交替分析频谱方法的实现。

An Excel-based implementation of the spectral method of action potential alternans analysis.

作者信息

Pearman Charles M

机构信息

Institute of Cardiovascular Research, The University of Manchester, 3rd Floor, Core Technology Facility, Grafton Street, Manchester, M13 9XX, U.K.

出版信息

Physiol Rep. 2014 Dec 11;2(12). doi: 10.14814/phy2.12194. Print 2014 Dec 1.

Abstract

Action potential (AP) alternans has been well established as a mechanism of arrhythmogenesis and sudden cardiac death. Proper interpretation of AP alternans requires a robust method of alternans quantification. Traditional methods of alternans analysis neglect higher order periodicities that may have greater pro-arrhythmic potential than classical 2:1 alternans. The spectral method of alternans analysis, already widely used in the related study of microvolt T-wave alternans, has also been used to study AP alternans. Software to meet the specific needs of AP alternans analysis is not currently available in the public domain. An AP analysis tool is implemented here, written in Visual Basic for Applications and using Microsoft Excel as a shell. This performs a sophisticated analysis of alternans behavior allowing reliable distinction of alternans from random fluctuations, quantification of alternans magnitude, and identification of which phases of the AP are most affected. In addition, the spectral method has been adapted to allow detection and quantification of higher order regular oscillations. Analysis of action potential morphology is also performed. A simple user interface enables easy import, analysis, and export of collated results.

摘要

动作电位(AP)交替现象已被确认为心律失常发生和心源性猝死的一种机制。对AP交替现象进行正确解读需要一种可靠的交替现象量化方法。传统的交替现象分析方法忽略了高阶周期性,而这些高阶周期性可能比经典的2:1交替现象具有更大的促心律失常潜力。交替现象分析的频谱方法已在微伏T波交替现象的相关研究中广泛应用,也被用于研究AP交替现象。目前公共领域没有满足AP交替现象分析特定需求的软件。这里实现了一个AP分析工具,它用应用程序可视化 Basic 编写,并以Microsoft Excel作为外壳。该工具对交替现象行为进行复杂分析,能够可靠地区分交替现象与随机波动,量化交替现象的幅度,并识别AP的哪些阶段受影响最大。此外,频谱方法已被改进以允许检测和量化高阶规则振荡。还对动作电位形态进行分析。一个简单的用户界面使整理结果的导入、分析和导出变得容易。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae92/4332198/c8e99d6ad5d0/phy2-2-e12194-g1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验