DocumentCode
2493909
Title
Quantitative ECG analysis for individual risk assessment of future myocardial infarct-results from the MARISK study
Author
Michaelis, J. ; Lippold, R. ; Nafe, B. ; Scheidt, E.
Author_Institution
Inst. fur Medizinische Statistik und Dokumentation, Johannes Gutenberg-Univ., Mainz, Germany
fYear
1991
fDate
23-26 Sep 1991
Firstpage
677
Lastpage
680
Abstract
From 1980 to 1990 the authors performed an epidemiological cohort study in order to explore the predictive power of computer electrocardiogram (ECG) measurements for individual risk assessment of future myocardial infarct in combination with commonly known risk factors. Out of 7542 participants, 83 experienced a myocardial infarct during the course of the study. Multivariate logistic regression analysis revealed that vector cardiogram (VCG) measurements provide significant additional information to risk estimation which is equivalent to that of other risk factors. Measurement changes are stronger risk indicators than single measurements. The results confirm previous findings from H.V. Pipberger et al. (1986)
Keywords
computerised signal processing; electrocardiography; medical diagnostic computing; waveform analysis; MARISK study; computer electrocardiogram measurements; epidemiological cohort study; future myocardial infarct; individual risk assessment; measurement changes; multivariate logistic regression analysis; predictive power; quantitative ECG analysis; risk indicators; vector cardiogram measurements; Availability; Cardiac disease; Electrocardiography; Information analysis; Logistics; Myocardium; Performance analysis; Regression analysis; Risk analysis; Risk management;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers in Cardiology 1991, Proceedings.
Conference_Location
Venice
Print_ISBN
0-8186-2485-X
Type
conf
DOI
10.1109/CIC.1991.169002
Filename
169002
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