Literature DB >> 22198710

Respiratory and non-respiratory sinus arrhythmia: implications for heart rate variability.

Michael K McMullen1, Julie M Whitehouse, Gillian Shine, Anthony Towell.   

Abstract

The quantity of blood arriving at the left side of the heart oscillates throughout the breathing cycle due to the mechanics of breathing. Neurally regulated fluctuations in the length of the heart period act to dampen oscillations of the left ventricular stroke volume entering the aorta. We have reported that stroke volume oscillations but not spectral frequency variability stroke volume measures can be used to estimate the breathing frequency. This study investigated with the same recordings whether heart period oscillations or spectral heart rate variability measures could function as estimators of breathing frequency. Continuous 270 s cardiovascular recordings were obtained from 22 healthy adult volunteers in the supine and upright postures. Breathing was recorded simultaneously. Breathing frequency and heart period oscillation frequency were calculated manually, while heart rate variability spectral maximums were obtained using heart rate variability software. These estimates were compared to the breathing frequency using the Bland-Altman agreement procedure. Estimates were required to be < ±10% (95% levels of agreement). The 95% levels of agreement measures for the heart period oscillation frequency (supine: -27.7 to 52.0%, upright: -37.8 to 45.9%) and the heart rate variability spectral maximum estimates (supine: -48.7 to 26.5% and -56.4 to 62.7%, upright: -37.8 to 39.3%) exceeded 10%. Multiple heart period oscillations were observed to occur during breathing cycles. Both respiratory and non-respiratory sinus arrhythmia was observed amongst healthy adults. This observation at least partly explains why heart period parameters and heart rate variability parameters are not reliable estimators of breathing frequency. In determining the validity of spectral heart rate variability measurements we suggest that it is the position of the spectral peaks and not the breathing frequency that should be the basis of decision making.

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Year:  2011        PMID: 22198710     DOI: 10.1007/s10877-011-9327-8

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


  28 in total

1.  Comparison of spontaneous vs. metronome-guided breathing on assessment of vagal modulation using RR variability.

Authors:  D M Bloomfield; A Magnano; J T Bigger; H Rivadeneira; M Parides; R C Steinman
Journal:  Am J Physiol Heart Circ Physiol       Date:  2001-03       Impact factor: 4.733

Review 2.  Applying the right statistics: analyses of measurement studies.

Authors:  J M Bland; D G Altman
Journal:  Ultrasound Obstet Gynecol       Date:  2003-07       Impact factor: 7.299

3.  The psychology of potential threat: properties of the security motivation system.

Authors:  Andrea L Hinds; Erik Z Woody; Ana Drandic; Louis A Schmidt; Michael Van Ameringen; Marie Coroneos; Henry Szechtman
Journal:  Biol Psychol       Date:  2010-08-17       Impact factor: 3.251

Review 4.  The effects of baroreceptor stimulation on central respiratory drive: a review.

Authors:  Simon McMullan; Paul M Pilowsky
Journal:  Respir Physiol Neurobiol       Date:  2010-07-30       Impact factor: 1.931

5.  The many metrics of cardiac chronotropy: a pragmatic primer and a brief comparison of metrics.

Authors:  John J B Allen; Andrea S Chambers; David N Towers
Journal:  Biol Psychol       Date:  2006-10-27       Impact factor: 3.251

6.  Methodological issues in the quantification of respiratory sinus arrhythmia.

Authors:  John W Denver; Shawn F Reed; Stephen W Porges
Journal:  Biol Psychol       Date:  2006-10-25       Impact factor: 3.251

7.  Last word on point:counterpoint: respiratory sinus arrhythmia is due to a central mechanism vs. respiratory sinus arrhythmia is due to the baroreflex mechanism.

Authors:  John M Karemaker
Journal:  J Appl Physiol (1985)       Date:  2009-03-05

8.  Autonomic regulation and maze-learning performance in older and younger adults.

Authors:  Karen J Mathewson; Jane Dywan; Peter J Snyder; William J Tays; Sidney J Segalowitz
Journal:  Biol Psychol       Date:  2011-06-23       Impact factor: 3.251

Review 9.  Heart rate variability: origins, methods, and interpretive caveats.

Authors:  G G Berntson; J T Bigger; D L Eckberg; P Grossman; P G Kaufmann; M Malik; H N Nagaraja; S W Porges; J P Saul; P H Stone; M W van der Molen
Journal:  Psychophysiology       Date:  1997-11       Impact factor: 4.016

10.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

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  3 in total

Review 1.  Heart rate variability indexes as a marker of chronic adaptation in athletes: a systematic review.

Authors:  Vanessa Pereira da Silva; Natacha Alves de Oliveira; Heitor Silveira; Roger Gomes Tavares Mello; Andrea Camaz Deslandes
Journal:  Ann Noninvasive Electrocardiol       Date:  2014-11-26       Impact factor: 1.468

2.  TRPA1 mediates changes in heart rate variability and cardiac mechanical function in mice exposed to acrolein.

Authors:  Nicole Kurhanewicz; Rachel McIntosh-Kastrinsky; Haiyan Tong; Allen Ledbetter; Leon Walsh; Aimen Farraj; Mehdi Hazari
Journal:  Toxicol Appl Pharmacol       Date:  2016-10-13       Impact factor: 4.219

3.  Heart rate variability changes at 2400 m altitude predicts acute mountain sickness on further ascent at 3000-4300 m altitudes.

Authors:  Heikki M Karinen; Arja Uusitalo; Henri Vähä-Ypyä; Mika Kähönen; Juha E Peltonen; Phyllis K Stein; Jari Viik; Heikki O Tikkanen
Journal:  Front Physiol       Date:  2012-08-30       Impact factor: 4.566

  3 in total

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