Literature DB >> 23674071

Heart rate variability indices for very short-term (30 beat) analysis. Part 1: survey and toolbox.

Anne-Louise Smith1, Harry Owen, Karen J Reynolds.   

Abstract

Heart rate variability (HRV) analysis over very short (<60 s) periods may be useful for monitoring dynamic changes in autonomic nervous system activity where steady-state conditions are not maintained (e.g. during drug administration, or the start or end of exercise). From the 1980s there has been a wealth of HRV indices produced in the quest for better measures of the change in parasympathetic and sympathetic activity. Many of the indices have been sparingly used and have not been investigated for application to short-term use. This study surveyed published methods of HRV analysis searching for indices that could be applied to very short time HRV analysis. The survey included measures of time domain, frequency domain, respiratory sinus arrhythmia, Poincaré plot, and heart rate characteristics. Indices were tested with short segments of archived data to remove those that produced invalid results, or were mathematically equivalent to, but less well known than other indices. The survey identified a comprehensive list of 115 indices that were subsequently coded and screened. Of these, 70 were unique and produced a finite number with 60 s data, so are included in the Toolbox. These indices require validation against physiological data before they can be applied to short-term HRV analysis of cardiac autonomic nervous system activity.

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Year:  2013        PMID: 23674071     DOI: 10.1007/s10877-013-9471-4

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  65 in total

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Journal:  J Med Eng Technol       Date:  2001 Nov-Dec

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Authors:  K L Chang; K J Monahan; M P Griffin; D Lake; J R Moorman
Journal:  Ann Biomed Eng       Date:  2001-09       Impact factor: 3.934

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Authors:  N K Kristiansen; J Fleischer; M S Jensen; K S Andersen; H Nygaard
Journal:  Med Biol Eng Comput       Date:  2005-07       Impact factor: 2.602

Review 4.  The use of heart rate variability measures to assess autonomic control during exercise.

Authors:  G R H Sandercock; D A Brodie
Journal:  Scand J Med Sci Sports       Date:  2006-06-15       Impact factor: 4.221

5.  Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology.

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Journal:  Eur Heart J       Date:  1996-03       Impact factor: 29.983

6.  Sympathovagal balance: how should we measure it?

Authors:  J J Goldberger
Journal:  Am J Physiol       Date:  1999-04

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Authors:  J R Halliwill; G E Billman
Journal:  Am J Physiol       Date:  1992-06

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Authors:  J E Mietus; C-K Peng; I Henry; R L Goldsmith; A L Goldberger
Journal:  Heart       Date:  2002-10       Impact factor: 5.994

9.  A Pocket-size Device to Detect Autonomic Neuropathy.

Authors:  Niels Ejskjaer; Jesper Fleischer; Jacob Fleischer; Poul Erik Jacobsen; Per Logstrup Poulsen; Hans Nygaard
Journal:  J Diabetes Sci Technol       Date:  2008-07

10.  Demonstration of circadian rhythm in heart rate turbulence using novel application of correlator functions.

Authors:  Mari A Watanabe; Mark Alford; Raphael Schneider; Axel Bauer; Petra Barthel; Phyllis K Stein; Georg Schmidt
Journal:  Heart Rhythm       Date:  2006-11-18       Impact factor: 6.343

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  13 in total

1.  Using the multi-parameter variability of photoplethysmographic signals to evaluate short-term cardiovascular regulation.

Authors:  Xiang Chen; Ning Liu; Yuanyuan Huang; Feng Yun; Jue Wang; Jin Li
Journal:  J Clin Monit Comput       Date:  2014-11-19       Impact factor: 2.502

2.  Modeling the diving bradycardia: Toward an "oxygen-conserving breaking point"?

Authors:  Guillaume Costalat; Aurélien Pichon; Fabrice Joulia; Frédéric Lemaître
Journal:  Eur J Appl Physiol       Date:  2015-02-18       Impact factor: 3.078

3.  Heart rate variability indices for very short-term (30 beat) analysis. Part 2: validation.

Authors:  Anne-Louise Smith; Harry Owen; Karen J Reynolds
Journal:  J Clin Monit Comput       Date:  2013-05-17       Impact factor: 2.502

4.  Can short-term heart rate variability be used to monitor fentanyl-midazolam induced changes in ANS preceding respiratory depression?

Authors:  Anne-Louise Smith; Harry Owen; Karen J Reynolds
Journal:  J Clin Monit Comput       Date:  2014-09-20       Impact factor: 2.502

5.  Cognitive Collaboration Found in Cardiac Physiology: Study in Classroom Environment.

Authors:  Lauri Ahonen; Benjamin Cowley; Jari Torniainen; Antti Ukkonen; Arto Vihavainen; Kai Puolamäki
Journal:  PLoS One       Date:  2016-07-14       Impact factor: 3.240

Review 6.  Guidelines for Reporting Articles on Psychiatry and Heart rate variability (GRAPH): recommendations to advance research communication.

Authors:  D S Quintana; G A Alvares; J A J Heathers
Journal:  Transl Psychiatry       Date:  2016-05-10       Impact factor: 6.222

Review 7.  Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research - Recommendations for Experiment Planning, Data Analysis, and Data Reporting.

Authors:  Sylvain Laborde; Emma Mosley; Julian F Thayer
Journal:  Front Psychol       Date:  2017-02-20

Review 8.  Hidden Signals-The History and Methods of Heart Rate Variability.

Authors:  Gernot Ernst
Journal:  Front Public Health       Date:  2017-10-16

9.  Transdermal Optical Imaging Reveal Basal Stress via Heart Rate Variability Analysis: A Novel Methodology Comparable to Electrocardiography.

Authors:  Jing Wei; Hong Luo; Si J Wu; Paul P Zheng; Genyue Fu; Kang Lee
Journal:  Front Psychol       Date:  2018-02-08

10.  Biosignals reflect pair-dynamics in collaborative work: EDA and ECG study of pair-programming in a classroom environment.

Authors:  Lauri Ahonen; Benjamin Ultan Cowley; Arto Hellas; Kai Puolamäki
Journal:  Sci Rep       Date:  2018-02-16       Impact factor: 4.379

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