Moli-sani项目中的计算机化心电图库

L. Iacoviello, A. Di Castelnuovo, Livia Rago, M. Vaglio, F. Badilini, D. Assanelli, M. Donati, G. de Gaetano
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引用次数: 0

摘要

计算机化心电图(ECG)可能对开发心血管疾病风险定义和预防的新工具非常有用。Moli-sani项目(http://www.moli-sani.org)是一项基于人群的队列研究,从普通人群中招募了24000多名年龄>35岁的男性和女性。目的是评估与慢性退行性疾病有关的风险因素,特别是心血管疾病和癌症以及高血压、糖尿病、血脂异常、肥胖和代谢综合征等中间代谢表型。标准的12导联静息心电图由Cardiette ar2100视图心电图仪进行,描记以数字标准通信协议格式存储,供后续分析。Moli-sani项目的数字ECG数据库目前被用于评估生理变量、病理生理状况(如高血压、糖尿病和肥胖)与心电信号衍生参数之间的关系。这是对数据库和迄今为止通过其分析获得的结果的全面审查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computerised ECG repository in the Moli-sani project
Computerized electrocardiogram (ECG) may be extremely useful to develop new tools for the definition of the risk and the prevention of cardiovascular disease. The Moli-sani project (http://www.moli-sani.org) is a population-based cohort study that recruited over 24.000 men and women, aged >35 year, from the general population. The aim was the evaluation of risk factors linked to chronic-degenerative disease with particular regard to cardiovascular disease and cancer and intermediate metabolic phenotypes such as hypertension, diabetes, dyslipidemia, obesity, and metabolic syndrome. Standard 12-lead resting ECG was performed by a Cardiette ar2100-view electrocardiograph and tracings stored in digital standard communication protocol format for subsequent analysis. The digital ECG database of the Moli-sani project is currently being used to assess the association between physiologic variables, pathophysiologic conditions such as hypertension, diabetes and obesity and parameters derived from the ECG signal. This is a comprehensive review of the database and of the results until now obtained with its analysis.
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