DocumentCode :
169921
Title :
Computerised ECG repository in the Moli-sani project
Author :
Iacoviello, Licia ; Di Castelnuovo, Augusto ; Rago, Livia ; Vaglio, M. ; Badilini, Fabio ; Assanelli, Diodato ; Donati, Maria B. ; de Gaetano, Giovanni
Author_Institution :
Dept. of Epidemiology & Prevention, NEUROMED, Pozzilli, Italy
fYear :
2014
fDate :
25-28 May 2014
Firstpage :
87
Lastpage :
88
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.
Keywords :
bioelectric potentials; biomedical communication; cancer; cardiovascular system; electrocardiography; medical disorders; medical signal processing; reviews; ECG signal; cancer; cardiovascular disease prevention; cardiovascular disease risk; chronic-degenerative disease; computerized ECG repository; computerized electrocardiogram repository; diabetes; digital ECG database; digital standard communication protocol format; dyslipidemia; hypertension; intermediate metabolic phenotypes; metabolic syndrome; obesity; pathophysiologic conditions; physiologic variables; population-based cohort study; Cardiovascular diseases; Diabetes; Electrocardiography; Hypertension; Sociology; Standards; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cardiovascular Oscillations (ESGCO), 2014 8th Conference of the European Study Group on
Conference_Location :
Trento
Type :
conf
DOI :
10.1109/ESGCO.2014.6847532
Filename :
6847532
Link To Document :
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