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Title:Heart rate variability and nonlinear dynamic analysis in patients with stress-induced cardiomyopathy
Authors:ID Krstačić, Goran, Institute for Cardiovascular Diseases and Rehabilitation, Zagreb, Croatia (Author)
ID Parati, Gianfranco, Istituto Auxologico Italiano, Ospedale San Luca and Universita di Milan-Biccoca, Milan, Italy (Author)
ID Gamberger, Dragan, Institute Rudjer Boskovic, Zagreb, Croatia (Author)
ID Castiglioni, Paolo, Don C. Gnocchi Foundation, Milan, Italy (Author)
ID Krstačić, Antonija, University Hospital Centre Sisters of Mercy, Clinic of Traumatology, Zagreb, Croatia (Author)
ID Steiner, Robert, Clinical Hospital Centre Osijek, Osijek, Croatia (Author)
Files: This document has no files that are freely available to the public. This document may have a physical copy in the library of the organization, check the status via COBISS. Link is opened in a new window
Work type:Not categorized
Typology:1.01 - Original Scientific Article
Organization:UNG - University of Nova Gorica
Abstract:Complexity-based analyses may quantify abnormalities in heart rate variability (HRV). The aim of this study was to investigate the clinical and prognostic significances of dynamic HRV changes in patients with stress-induced cardiomyopathy Takotsubo syndrome (TS) by means of linear and nonlinear analysis. Patients with TS were included in study after complete noninvasive and invasive cardiovascular diagnostic evaluation and compared to an age and gender matched control group of healthy subjects. Series of R–R interval and of ST–T interval values were obtained from 24-h ECG recordings after digital sampling. HRV analysis was performed by ‘range rescaled analysis’ to determine the Hurst exponent, by detrended fluctuation analysis to quantify fractal longrange correlation properties, and by approximate entropy to assess time-series predictability. Short- and long-term fractal-scaling exponents were significantly higher in patients with TS in acute phases, opposite to lower approximate entropy and Hurst exponent, but all variables normalized in a few weeks. Dynamic HRV analysis allows assessing changes in complexity features of HRV in TS patients during the acute stage, and to monitor recovery after treatment, thus complementing traditional ECG and clinically analysis.
Keywords:Heart rate variability, Nonlinear dynamics, Chaos theory, Stress-induced cardiomyopathy, Takotsubo syndrome
Publication version:Version of Record
Year of publishing:2012
Number of pages:1037-1046
Numbering:50, 10
PID:20.500.12556/RUNG-3171-e9063b39-5c28-89f1-bd20-c772cb55739c New window
COBISS.SI-ID:4843515 New window
DOI:10.1007/s11517-012-0947-z New window
Publication date in RUNG:13.07.2017
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Record is a part of a journal

Title:Medical and Biological Engineering and Computing
Shortened title:Med Biol Eng Comput
Publisher:Springer Verlag (Germany)
Year of publishing:2012


License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:13.07.2017