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Published in: European Journal of Applied Physiology 1/2018

01-01-2018 | Original Article

Ultra-shortened time-domain HRV parameters at rest and following exercise in athletes: an alternative to frequency computation of sympathovagal balance

Authors: Michael R. Esco, Henry N. Williford, Andrew A. Flatt, Todd J. Freeborn, Fabio Y. Nakamura

Published in: European Journal of Applied Physiology | Issue 1/2018

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Abstract

Purpose

The primary purpose of this study was to determine the accuracy of the standard deviation of normal-to-normal intervals (SDNN) to root mean square of successive normal-to-normal interval differences (RMSSD) ratio from 1-min recordings (SDNN:RMSSD1−min) compared to criterion recordings, as well as its relationship to low-frequency-to-high-frequency ratio (LF:HF) at rest and following maximal exercise in a group of collegiate athletes.

Method

Twenty athletes participated in the study. Heart rate variability (HRV) data were measured for 5 min before and at 5–10 and 25–30 min following a maximal exercise test. From each 5-min segment, the frequency-domain measures of HF, LF, and LF:HF ratio were analyzed. Time-domain measures of SDNN, RMSSD, and SDNN:RMSSD ratio were also analyzed from each 5-min segment, as well as from randomly selected 1-min recordings.

Result

The 1-min values of SDNN, RMSSD, and SDNN:RMSSD provided no significant differences and nearly perfect intra-class correlations (ICCs ranged from 0.97 to 1.00, p < 0.001 for all) to the criterion measures from 5-min recordings. In addition, SDNN, RMSSD, and SDNN:RMSSD from the 1-min segments provided very large to nearly perfect correlations (r values ranged from 0.71 to 0.97, p < 0.001 for all) to LF, HF, and LF:HF, respectively, at each time point.

Conclusion

The findings of the study suggest that ultra-shortened time-domain markers may be useful surrogates of the frequency-domain parameters for tracking changes in sympathovagal activity in athletes.
Literature
go back to reference Abboud S, Barnea O (1995) Errors due to sampling frequency of electrocardiogram in spectral analysis of heart rate signals with low variability. Comput Cardiol 461–463 Abboud S, Barnea O (1995) Errors due to sampling frequency of electrocardiogram in spectral analysis of heart rate signals with low variability. Comput Cardiol 461–463
go back to reference Balocchi R, Cantini F, Varanini M, Raimondi G, Lagramante JM, Macerata A (2006) Revisiting the potential of time-domain indexes in short-term HRV analysis. Biomed Tech 51:190–193CrossRef Balocchi R, Cantini F, Varanini M, Raimondi G, Lagramante JM, Macerata A (2006) Revisiting the potential of time-domain indexes in short-term HRV analysis. Biomed Tech 51:190–193CrossRef
go back to reference Buchheit M, Laursen PB, Ahmaidi S (2007) Parasympathetic reactivation after repeated sprint exercise. Am J Physiol Heart CircPhysiol 293:H133–H141CrossRef Buchheit M, Laursen PB, Ahmaidi S (2007) Parasympathetic reactivation after repeated sprint exercise. Am J Physiol Heart CircPhysiol 293:H133–H141CrossRef
go back to reference Cataldo A, Zangla D, Cerasola D, Vallone V, Grusso G, Lo Presti R, Traina M (2016) J Sports Med Phys Fitness 56:491–496PubMed Cataldo A, Zangla D, Cerasola D, Vallone V, Grusso G, Lo Presti R, Traina M (2016) J Sports Med Phys Fitness 56:491–496PubMed
go back to reference Ellis RJ, Zhu B, Koenig J, Thayer JF, Wang Y (2015) A careful look at ECG sampling frequency and R-peak interpolation on short-term measures of heart-rate variability. Physiol Meas 36:1827–1852CrossRef Ellis RJ, Zhu B, Koenig J, Thayer JF, Wang Y (2015) A careful look at ECG sampling frequency and R-peak interpolation on short-term measures of heart-rate variability. Physiol Meas 36:1827–1852CrossRef
go back to reference Esco MR, Flatt AA (2014) Ultra-short-term heart rate variability indexes at rest and post-exercise in athletes: evaluating the agreement with accepted recommendations. J Sports Sci Med 13:535–541PubMedPubMedCentral Esco MR, Flatt AA (2014) Ultra-short-term heart rate variability indexes at rest and post-exercise in athletes: evaluating the agreement with accepted recommendations. J Sports Sci Med 13:535–541PubMedPubMedCentral
go back to reference Iallamo F, Legramante JM, Pigozzi F, Spataro A, Norbiato G, Lucini D, Pagani M (2002) Conversion from vagal to sympathetic predominance with strenuous training in high-performance world class athletes. Circulation 105:2719–2724CrossRef Iallamo F, Legramante JM, Pigozzi F, Spataro A, Norbiato G, Lucini D, Pagani M (2002) Conversion from vagal to sympathetic predominance with strenuous training in high-performance world class athletes. Circulation 105:2719–2724CrossRef
go back to reference Javorka M, Zila I, Balharek T, Javorka K (2002) Heart rate recovery after exercise: relations to heart rate variability and complexity. Braz J Med Biol Res 35:991–1000CrossRef Javorka M, Zila I, Balharek T, Javorka K (2002) Heart rate recovery after exercise: relations to heart rate variability and complexity. Braz J Med Biol Res 35:991–1000CrossRef
go back to reference Mahdiani S, Jeyhani V, Peltokangas M, Vehkaoja A (2015) Is 50 Hz high enough for ECG samply frequency for accurate HRV analysis?. Conf Proc IEEE Eng Med BiolSoc 5948–5951 Mahdiani S, Jeyhani V, Peltokangas M, Vehkaoja A (2015) Is 50 Hz high enough for ECG samply frequency for accurate HRV analysis?. Conf Proc IEEE Eng Med BiolSoc 5948–5951
go back to reference Mourot L, Bouhaddi M, Perrey S, Cappelle S, Henriet MT, Wolf JP, Rouillon JD, Regnard J (2004) Decrease in heart rate variability with overtraining: assessment by the Poincare plot analysis. Clin Physiol Funct Imaging 24:10–18CrossRef Mourot L, Bouhaddi M, Perrey S, Cappelle S, Henriet MT, Wolf JP, Rouillon JD, Regnard J (2004) Decrease in heart rate variability with overtraining: assessment by the Poincare plot analysis. Clin Physiol Funct Imaging 24:10–18CrossRef
go back to reference Nakamura FY, Flatt AA, Pereira LA, Ramirez-Campillo R, Loturco I, Esco MR (2015) Ultra-short-term heart rate variability is sensitive to training effects in team sports players. J Sports Sci Med 14:602–605PubMedPubMedCentral Nakamura FY, Flatt AA, Pereira LA, Ramirez-Campillo R, Loturco I, Esco MR (2015) Ultra-short-term heart rate variability is sensitive to training effects in team sports players. J Sports Sci Med 14:602–605PubMedPubMedCentral
go back to reference Otzenberger H, Gronfier C, Simon C, Charloux A, Ehrhart J, Piguard F, Brandenberger G (1998) Dynamic heart rate variability: a tool for exploring sympathovagal balance continuously during sleep in men. Am J Physiol 275(3 Pt 2):H946-950 Otzenberger H, Gronfier C, Simon C, Charloux A, Ehrhart J, Piguard F, Brandenberger G (1998) Dynamic heart rate variability: a tool for exploring sympathovagal balance continuously during sleep in men. Am J Physiol 275(3 Pt 2):H946-950
go back to reference Pagani M, Lonbardi F, Guzzetti S, Sandrone G, Rimoldi O, Malfatto G, Cerutti S, Malliani A (1984) Power spectral density of heart rate variability as an index of sympatho-vagal interaction in normal hypertensive subjects. J HypertensSuppl 2:S383-S385 Pagani M, Lonbardi F, Guzzetti S, Sandrone G, Rimoldi O, Malfatto G, Cerutti S, Malliani A (1984) Power spectral density of heart rate variability as an index of sympatho-vagal interaction in normal hypertensive subjects. J HypertensSuppl 2:S383-S385
go back to reference Parekh A, Lee CM (2005) Heart rate variability after isocaloric exercise bouts of different intensities. Med Sci Sports Exerc 37:599–605CrossRef Parekh A, Lee CM (2005) Heart rate variability after isocaloric exercise bouts of different intensities. Med Sci Sports Exerc 37:599–605CrossRef
go back to reference Saboul D, Balducci P, Millet G, Pialoux V, Hautier C (2016) A pilot study on quantification of training load: The use of HRV in training practice. Eur J Sport Sci 16:172–181CrossRef Saboul D, Balducci P, Millet G, Pialoux V, Hautier C (2016) A pilot study on quantification of training load: The use of HRV in training practice. Eur J Sport Sci 16:172–181CrossRef
go back to reference Salahuddin L, Cho J, Jeong MG, Kim D (2007) Ultra short term analysis of heart rate variability for monitoring mental stress in mobile settings. Conf Proc IEEE Eng Med BiolSoc 4656–4659 Salahuddin L, Cho J, Jeong MG, Kim D (2007) Ultra short term analysis of heart rate variability for monitoring mental stress in mobile settings. Conf Proc IEEE Eng Med BiolSoc 4656–4659
go back to reference Seiler S, Haugen O, Kuffel E (2007) Autonomic recovery after exercise in trained athletes: intensity and duration effects. Med Sci Sports Exerc 39:1366–1373CrossRef Seiler S, Haugen O, Kuffel E (2007) Autonomic recovery after exercise in trained athletes: intensity and duration effects. Med Sci Sports Exerc 39:1366–1373CrossRef
go back to reference Senthinathan A, Mainwaring LM, Hutchison M (2017) heart rate variability of athletes across concussion recovery milestones: a preliminary study. Clin J Sport Med 27:288–295CrossRef Senthinathan A, Mainwaring LM, Hutchison M (2017) heart rate variability of athletes across concussion recovery milestones: a preliminary study. Clin J Sport Med 27:288–295CrossRef
go back to reference Sollers JJ 3rd, Buchanan TW, Mowrer SM, Hill LK, Thayer JF (2007) Comparison of the ratio of the standard deviation of the R-R interval and the root mean squared successive differences SD/rMSSD) to the low frequency-to-high frequency (LF/HF) ratio in a patient population and normal healthy controls. Biomed Sci Instrum 43:158–163PubMed Sollers JJ 3rd, Buchanan TW, Mowrer SM, Hill LK, Thayer JF (2007) Comparison of the ratio of the standard deviation of the R-R interval and the root mean squared successive differences SD/rMSSD) to the low frequency-to-high frequency (LF/HF) ratio in a patient population and normal healthy controls. Biomed Sci Instrum 43:158–163PubMed
go back to reference Tarvainen MP, Niskanen JP, Lipponen JA, Ranta-aho PO, Karjalainen PA (2014) Kubios HRV—heart rate variability analysis software. Comput Methods Programs Biomed 113:210–220CrossRef Tarvainen MP, Niskanen JP, Lipponen JA, Ranta-aho PO, Karjalainen PA (2014) Kubios HRV—heart rate variability analysis software. Comput Methods Programs Biomed 113:210–220CrossRef
go back to reference Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology (1996) Heart rate variability: standards of measurement, physiological interpretation and clinical use. Circulation 93:1043–1065CrossRef Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology (1996) Heart rate variability: standards of measurement, physiological interpretation and clinical use. Circulation 93:1043–1065CrossRef
Metadata
Title
Ultra-shortened time-domain HRV parameters at rest and following exercise in athletes: an alternative to frequency computation of sympathovagal balance
Authors
Michael R. Esco
Henry N. Williford
Andrew A. Flatt
Todd J. Freeborn
Fabio Y. Nakamura
Publication date
01-01-2018
Publisher
Springer Berlin Heidelberg
Published in
European Journal of Applied Physiology / Issue 1/2018
Print ISSN: 1439-6319
Electronic ISSN: 1439-6327
DOI
https://doi.org/10.1007/s00421-017-3759-x

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