Ultra-shortened Time-domain HRV Parameters at Rest and Following Exercise in Athletes: An Alternative to Frequency Computation of Sympathovagal Balance

Authors

• Michael Esco, University of Alabama - TuscaloosaFollow
• Henry N. Williford, Auburn University
• Andrew A. Flatt, Armstrong Atlantic State UniversityFollow
• Todd Freeborn, University of Alabama - Tuscaloosa
• Fabio Y. Nakamura, University of ChietiFollow

Document Type

Article

Publication Date

11-11-2017

Publication Title

European Journal of Applied Physiology

DOI

10.1007/s00421-017-3759-x

ISSN

1439-6327

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.

Comments

Georgia Southern University faculty member, Andrew A. Flatt, co-authored "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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Recommended Citation

Esco, Michael, Henry N. Williford, Andrew A. Flatt, Todd Freeborn, Fabio Y. Nakamura. 2017. "Ultra-shortened Time-domain HRV Parameters at Rest and Following Exercise in Athletes: An Alternative to Frequency Computation of Sympathovagal Balance." European Journal of Applied Physiology, 118: 175-184: Springer. doi: 10.1007/s00421-017-3759-x source: https://link.springer.com/article/10.1007/s00421-017-3759-x
https://digitalcommons.georgiasouthern.edu/health-kinesiology-facpubs/299

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