• 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