Publication detail

Autonomic Nervous System Recovery After Various Exercises in Highly Trained Athletes

ŠACLOVÁ, L. NĚMCOVÁ, A. ŠACL, J. RONZHINA, M. SMÍŠEK, R. SMITAL, L. VÍTEK, M.

Original Title

Autonomic Nervous System Recovery After Various Exercises in Highly Trained Athletes

Type

conference paper

Language

English

Original Abstract

Introduction: Heart rate variability (HRV), expressed by the beat-to-beat variation in heart rate, offers a noninvasive indicator of autonomic nervous system (ANS) activity. Measurement of the ANS response is increasingly used to evaluate the effect of training load on the organism. Most authors compared only the impact of different types of running training sessions (TS) (low-intensity training (LIT), high-intensity interval training (HIIT)), or separately plyometric TS on HRV. In this study, HRV was used to clarify how different types of running TS and plyometric TS influence post-exercise ANS response. Methods: 15 highly trained runners participated in this study. Each subject completed three types of TS - LIT running, HIIT running and plyometric. Pre-exercise HRV measurements were taken for 5 min just before TS and post-exercise for 5 min 10 min after TS. Altogether 13 time-domain and frequency-domain HRV features were calculated. Finally, the changes between pre- and post-exercise values of HRV features were computed. Results: From 13 tested features, 10 features were statistically significant (p-value < 0.05) for distinguishing between different TS. All these parameters showed the highest drop after plyometric TS, followed by HIIT TS and the lowest drop (or even increase) after LIT TS. Plyometric TS had the most significant effect on the ANS.

Keywords

Autonomic Nervous System, Heart rate variability, running training session

Authors

ŠACLOVÁ, L.; NĚMCOVÁ, A.; ŠACL, J.; RONZHINA, M.; SMÍŠEK, R.; SMITAL, L.; VÍTEK, M.

Released

3. 4. 2023

Publisher

IEEE Computer Society

ISBN

979-8-3503-0097-0

Book

Computing in Cardiology

Edition

49

ISBN

2325-887X

Periodical

Computing in Cardiology

State

United States of America

Pages from

1

Pages to

4

Pages count

4

URL

https://ieeexplore.ieee.org/abstract/document/10081787

BibTex

@inproceedings{BUT180048,
  author="Lucie {Šaclová} and Andrea {Němcová} and Jiří {Šacl} and Marina {Filipenská} and Radovan {Smíšek} and Lukáš {Smital} and Martin {Vítek}",
  title="Autonomic Nervous System Recovery After Various Exercises in Highly Trained Athletes",
  booktitle="Computing in Cardiology",
  year="2023",
  series="49",
  journal="Computing in Cardiology",
  pages="1--4",
  publisher="IEEE Computer Society",
  doi="10.22489/CinC.2022.265",
  isbn="979-8-3503-0097-0",
  issn="2325-887X",
  url="https://ieeexplore.ieee.org/abstract/document/10081787"
}