Literature DB >> 8677867

Linear and nonlinear dynamics of heart rate variability after acute myocardial infarction with normal and reduced left ventricular ejection fraction.

F Lombardi1, G Sandrone, A Mortara, D Torzillo, M T La Rovere, M G Signorini, S Cerutti, A Malliani.   

Abstract

We analyzed heart rate variability (HRV) in 2 groups of patients after acute myocardial infarction with normal and reduced ejection fraction (EF) by considering both the power of the 2 major harmonic components at low and high frequency and 2 indexes of nonlinear dynamics, namely the 1/f slope and the correlation dimension D2. HRV of patients with a reduced EF was characterized by a diminished RR variance as well as a different distribution of the residual power in all frequency ranges, with lower values of the low-frequency component expressed in both absolute and normalized units, and of the low- to high-frequency ratio. In these patients we also observed a steeper slope of the negative regression line between power and frequency in the very low frequency range. The presence of a smaller fractal dimension was suggested by a lower D2. Thus, in patients after acute myocardial infarction with a reduced EF, the reduction in HRV is associated with a different distribution of the residual power in the entire frequency range, which suggests a diminished responsiveness of sinus node to neural modulatory inputs.

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Year:  1996        PMID: 8677867     DOI: 10.1016/s0002-9149(96)00193-2

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  18 in total

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Authors:  Mirja A Peltola; Tapio Seppänen; Timo H Mäkikallio; Heikki V Huikuri
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2.  Non-Linear Heart Rate Variability Indices in the Frequent Hemodialysis Network Trials of Chronic Hemodialysis Patients.

Authors:  Manuela Ferrario; Jochen G Raimann; Brett Larive; Andreas Pierratos; Stephan Thijssen; Sanjay Rajagopalan; Tom Greene; Sergio Cerutti; Gerald Beck; Christopher Chan; Peter Kotanko
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3.  Baseline heart rate variability predicts clinical events in heart failure patients implanted with cardiac resynchronization therapy: validation by means of related complexity index.

Authors:  Giulio Molon; Francesco Solimene; Donato Melissano; Antonio Curnis; Giuseppina Belotti; Natale Marrazzo; Jacek Marczyk; Francesco Accardi; Giovanni Raciti; Paolo Zecchi
Journal:  Ann Noninvasive Electrocardiol       Date:  2010-10       Impact factor: 1.468

4.  Heart rate variability: short-term studies are as useful as holter to differentiate diabetic patients from healthy subjects.

Authors:  Eduardo R Migliaro; Paola Contreras
Journal:  Ann Noninvasive Electrocardiol       Date:  2003-10       Impact factor: 1.468

5.  Severity in myocardial dysfunction contributed to long-term fluctuation of heart rate, rather than short-term fluctuations.

Authors:  Osamu Minamihaba; Michiyasu Yamaki; Hitonobu Tomoike; Isao Kubota
Journal:  Ann Noninvasive Electrocardiol       Date:  2003-04       Impact factor: 1.468

6.  Usefulness of risk stratification for future cardiac events in infarct survivors with severely depressed versus near-normal left ventricular function: results from a prospective long-term follow-up study.

Authors:  Thomas Klingenheben; Stefan H Hohnloser
Journal:  Ann Noninvasive Electrocardiol       Date:  2003-01       Impact factor: 1.468

7.  Usefulness of nonlinear analysis of ECG signals for prediction of inducibility of sustained ventricular tachycardia by programmed ventricular stimulation in patients with complex spontaneous ventricular arrhythmias.

Authors:  Ornella Durin; Claudio Pedrinazzi; Giorgio Donato; Rita Pizzi; Giuseppe Inama
Journal:  Ann Noninvasive Electrocardiol       Date:  2008-07       Impact factor: 1.468

8.  Heart rate variability - a historical perspective.

Authors:  George E Billman
Journal:  Front Physiol       Date:  2011-11-29       Impact factor: 4.566

9.  Role of editing of R-R intervals in the analysis of heart rate variability.

Authors:  Mirja A Peltola
Journal:  Front Physiol       Date:  2012-05-23       Impact factor: 4.566

10.  Comparison of linear-stochastic and nonlinear-deterministic algorithms in the analysis of 15-minute clinical ECGs to predict risk of arrhythmic death.

Authors:  James E Skinner; Michael Meyer; Brian A Nester; Una Geary; Pamela Taggart; Antoinette Mangione; George Ramalanjaona; Carol Terregino; William C Dalsey
Journal:  Ther Clin Risk Manag       Date:  2009-08-20       Impact factor: 2.423

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