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European Journal of Applied Physiology

, Volume 118, Issue 6, pp 1289–1290 | Cite as

Authors’ reply to Medeiros et al.: Make it easier! Evaluation of the ‘vagal-sympathetic effect’ in different conditions with R–R intervals monitoring

  • Michael R. Esco
  • Henry N. Williford
  • Andrew A. Flatt
  • Todd Freeborn
  • Fabio Y. Nakamura
  • Michael V. Fedewa
Reply
  • 124 Downloads

Keywords

Heart rate variability RMSSD Time-domain Cardiovascular-autonomic control Athlete monitoring 

Abbreviations

HRV

Heart rate variability

LF

Low frequency power

LF:HF

Low frequency to high frequency ratio

RMSSD

Root mean square of successive normal-to-normal interval differences

SDNN

Standard deviation of normal-to-normal R–R intervals

SDNN:RMSSD

The ratio between standard deviation of normal-to-normal R–R intervals to root mean square of successive normal-to-normal interval differences

Notes

Author contributions

MRE and MVF wrote the response letter. All other authors were involved in the original publication. All authors read and approved of the response letter.

References

  1. Billman GE (2013) The LF/HF ratio does not accurately measure cardiac sympatho-vagal balance. Front Physiol 4:26.  https://doi.org/10.3389/fphys.2013.00026 PubMedPubMedCentralCrossRefGoogle Scholar
  2. 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 13:535–541PubMedPubMedCentralGoogle Scholar
  3. Esco MR, Williford HN, Flatt AA, Freeborn TJ, Nakamura FY (2018) Ultra-shortened time-domain HRV parameters at rest and following exercise in athletes: an alternative to frequency computation of sympathovagal balance. Eur J Appl Physiol 118:175–184CrossRefPubMedGoogle Scholar
  4. Medeiros AR, Michael S, Boullosa DA (2018) Make it easier! Evaluation of the vagal-sympathetic effect in different conditioning with R–R intervals monitoring. Eur J Appl Physiol.  https://doi.org/10.1007/s00421-018-3855-6 PubMedCrossRefGoogle Scholar
  5. Nussinovitch U, Elishkevitz KP, Katz K, Nussinovitch M, Segev S, Volovitz B, Nussinovitch N (2011) Reliability of ultra-short ECG indices for heart rate variability. Ann Noninvasive Electrocardiol 16:117–122.  https://doi.org/10.1111/j.1542-474X.2011.00417.x CrossRefPubMedGoogle Scholar
  6. 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 93:1043–1065CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Exercise Physiology Laboratory, Department of KinesiologyUniversity of AlabamaTuscaloosaUSA
  2. 2.Department of KinesiologyAuburn University MontgomeryMontgomeryUSA
  3. 3.Biodynamics Laboratory, Department of Health SciencesArmstrong State UniversitySavannahUSA
  4. 4.Department of Electrical and Computer EngineeringUniversity of AlabamaTuscaloosaUSA
  5. 5.Department of Medicine and Aging Sciences“G. d’Annunzio” University of Chieti-PescaraChietiItaly
  6. 6.The College of Healthcare SciencesJames Cook UniversityQueenslandAustralia

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