Ultra-shortened time-domain HRV parameters at rest and following exercise in athletes: an alternative to frequency computation of sympathovagal balance
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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.
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.
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.
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.
KeywordsHeart rate variability RMSSD Time-domain Cardiovascular-autonomic control Athlete monitoring
Heart rate variability
Electrocardiogram or electrocardiographic
Root mean square of successive normal-to-normal interval differences
Standard deviation of normal-to-normal intervals
Pre-exercise resting period
Period between 5- and 10-min post-exercise
Period between 25- and 30-min post-exercise
Pearson’s correlation coefficient
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
The study was approved by The University of Alabama’s Institutional Review Board.
Research involving human and animal participants
The research involved human participants. All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Informed consent was obtained from all individual participants included in the study.
- Abboud S, Barnea O (1995) Errors due to sampling frequency of electrocardiogram in spectral analysis of heart rate signals with low variability. Comput Cardiol 461–463Google Scholar
- Hopkins WG (2002) A scale of magnitudes for effect statistics. A new view of statistics. http://www.sportsci.org/resource/stats/effectmag.html
- Kiviniemi AM, Tulppo MP, Eskelinen JJ, Savolainen AM, Kapanen J, Heinonen IH, Hautala AJ, Hannukainen JC, Kalliokoski KK (2015) Autonomic function predicts fitness response to short-term high-intensity interval training. Int J Sports Med 36:915–921. https://doi.org/10.1055/s-0035-1549854 CrossRefPubMedGoogle Scholar
- 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 5948–5951Google Scholar
- 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):H946-950Google Scholar
- 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-S385Google Scholar
- 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 4656–4659Google Scholar
- 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 43:158–163PubMedGoogle Scholar
- Wang HM, Huang SC (2012) SDNN/RMSSD as a surrogate for LF/HF: a revised investigation. Model Simulat Eng 16: https://doi.org/10.1155/2012/931943