Literature DB >> 26177817

Advances in heart rate variability signal analysis: joint position statement by the e-Cardiology ESC Working Group and the European Heart Rhythm Association co-endorsed by the Asia Pacific Heart Rhythm Society.

Roberto Sassi, Sergio Cerutti, Federico Lombardi, Marek Malik, Heikki V Huikuri, Chung-Kang Peng, Georg Schmidt, Yoshiharu Yamamoto.   

Abstract

Following the publication of the Task Force document on heart rate variability (HRV) in 1996, a number of articles have been published to describe new HRV methodologies and their application in different physiological and clinical studies. This document presents a critical review of the new methods. A particular attention has been paid to methodologies that have not been reported in the 1996 standardization document but have been more recently tested in sufficiently sized populations. The following methods were considered: Long-range correlation and fractal analysis; Short-term complexity; Entropy and regularity; and Nonlinear dynamical systems and chaotic behaviour. For each of these methods, technical aspects, clinical achievements, and suggestions for clinical application were reviewed. While the novel approaches have contributed in the technical understanding of the signal character of HRV, their success in developing new clinical tools, such as those for the identification of high-risk patients, has been rather limited. Available results obtained in selected populations of patients by specialized laboratories are nevertheless of interest but new prospective studies are needed. The investigation of new parameters, descriptive of the complex regulation mechanisms of heart rate, has to be encouraged because not all information in the HRV signal is captured by traditional methods. The new technologies thus could provide after proper validation, additional physiological, and clinical meaning. Multidisciplinary dialogue and specialized courses in the combination of clinical cardiology and complex signal processing methods seem warranted for further advances in studies of cardiac oscillations and in the understanding normal and abnormal cardiac control processes. Published on behalf of the European Society of Cardiology. All rights reserved.
© The Author 2015. For permissions please email: journals.permissions@oup.com.

Entities:  

Keywords:  Autonomic nervous system; Entropy; Fractal signals; Heart rate variability; Nonlinear dynamics; Risk stratification; Signal analysis

Mesh:

Year:  2015        PMID: 26177817     DOI: 10.1093/europace/euv015

Source DB:  PubMed          Journal:  Europace        ISSN: 1099-5129            Impact factor:   5.214


  142 in total

1.  Effect of Temperature on Heart Rate Variability in Neonatal ICU Patients With Hypoxic-Ischemic Encephalopathy.

Authors:  An N Massaro; Heather E Campbell; Marina Metzler; Tareq Al-Shargabi; Yunfei Wang; Adre du Plessis; Rathinaswamy B Govindan
Journal:  Pediatr Crit Care Med       Date:  2017-04       Impact factor: 3.624

2.  Intermittent hypoxia revisited: a promising non-pharmaceutical strategy to reduce cardio-metabolic risk factors?

Authors:  Guillaume Costalat; Frederic Lemaitre; Barbara Tobin; Gillian Renshaw
Journal:  Sleep Breath       Date:  2017-02-02       Impact factor: 2.816

3.  Acute stress response to a cognitive task in patients with major depressive disorder: potential metabolic and proinflammatory biomarkers.

Authors:  Tatiana Druzhkova; Ksenia Pochigaeva; Aleksander Yakovlev; Evdokia Kazimirova; Maria Grishkina; Aleksey Chepelev; Alla Guekht; Natalia Gulyaeva
Journal:  Metab Brain Dis       Date:  2018-12-18       Impact factor: 3.584

Review 4.  Heart rate variability: are you using it properly? Standardisation checklist of procedures.

Authors:  Aparecida Maria Catai; Carlos Marcelo Pastre; Moacir Fernades de Godoy; Ester da Silva; Anielle Christine de Medeiros Takahashi; Luiz Carlos Marques Vanderlei
Journal:  Braz J Phys Ther       Date:  2019-02-26       Impact factor: 3.377

5.  CrossTalk proposal: Heart rate variability is a valid measure of cardiac autonomic responsiveness.

Authors:  Marek Malik; Katerina Hnatkova; Heikki V Huikuri; Federico Lombardi; Georg Schmidt; Markus Zabel
Journal:  J Physiol       Date:  2019-04-21       Impact factor: 5.182

6.  Decrements in Adolescent Cardiac Complexity During Mother-Adolescent Conflicts.

Authors:  Josep Roman-Juan; Xavier Bornas; Neus Zuzama; Aina Fiol-Veny; Maria Balle
Journal:  Appl Psychophysiol Biofeedback       Date:  2021-05-23

7.  The purpose of heart rate variability measurements.

Authors:  Marek Malik; Heikki Huikuri; Federico Lombardi; Georg Schmidt
Journal:  Clin Auton Res       Date:  2017-03-27       Impact factor: 4.435

Review 8.  Heart Rate Variability: An Old Metric with New Meaning in the Era of using mHealth Technologies for Health and Exercise Training Guidance. Part One: Physiology and Methods.

Authors:  Nikhil Singh; Kegan James Moneghetti; Jeffrey Wilcox Christle; David Hadley; Daniel Plews; Victor Froelicher
Journal:  Arrhythm Electrophysiol Rev       Date:  2018-08

9.  Multi-lag tone-entropy in neonatal stress.

Authors:  Matej Šapina; Chandan Kumar Karmakar; Karolina Kramarić; Matthieu Garcin; P David Adelson; Krešimir Milas; Marko Pirić; Dario Brdarić; John Yearwood
Journal:  J R Soc Interface       Date:  2018-09-19       Impact factor: 4.118

Review 10.  The potential of electrocardiography for cardiac risk prediction in chronic and end-stage kidney disease.

Authors:  Sofia Skampardoni; Dimitrios Poulikakos; Marek Malik; Darren Green; Philip A Kalra
Journal:  Nephrol Dial Transplant       Date:  2019-07-01       Impact factor: 5.992

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