Heart rate dynamics predict 2-year mortality risk in ambulatory patients undergoing Holter monitoring

Author

Carozzi, L. ; Carrara, M. ; Moss, Travis J. ; Cerutti, Sergio ; Ferrario, M. ; Lake, D.E. ; Moorman, J.R.

Author_Institution

Dipt. di Elettron., Inf. e Bioingegneria (DEIB), Politec. di Milano, Milan, Italy

fYear

2014

fDate

25-28 May 2014

Firstpage

89

Lastpage

90

Abstract

Heart rhythm abnormalities such as atrial fibrillation (AF), atrial or ventricular ectopy and reduced heart rate variability (HRV) are associated with an increased risk of mortality. These altered dynamical properties might be useful in estimating the risk of death. In this work, a mortality risk stratification analysis was performed on the University of Virginia (UVa) Holter database using 2 entropy-based dynamical measures, Coefficient of Sample entropy (COSEn) and Local Dynamic Score (LDs).

Keywords

data analysis; diseases; entropy; medical diagnostic computing; patient diagnosis; patient monitoring; 2-year mortality risk; Holter database; Holter monitoring; altered dynamical properties; ambulatory patients; atrial ectopy; atrial fibrillation; coefficient-of-sample entropy; death; entropy-based dynamical measures; heart rate dynamics; heart rhythm abnormalities; local dynamic score; mortality risk stratification analysis; reduced heart rate variability; ventricular ectopy; Entropy; Heart rate variability; Image color analysis; Indexes; Sociology; 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.2014.6847533

Filename

6847533