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