Computerised ECG repository in the Moli-sani project

Licia Iacoviello, Augusto Di Castelnuovo, Livia Rago, Martino Vaglio, Fabio Badilini, Diodato Assanelli, Maria B. Donati, Giovanni De Gaetano

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014
PublisherIEEE Computer Society
Pages87-88
Number of pages2
ISBN (Print)9781479939695
DOIs
Publication statusPublished - 2014
Event2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014 - Trento, Italy
Duration: May 25 2014May 28 2014

Other

Other2014 8th Conference of the European Study Group on Cardiovascular Oscillations, ESGCO 2014
CountryItaly
CityTrento
Period5/25/145/28/14

ASJC Scopus subject areas

  • Biomedical Engineering

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