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Autonomic Nervous System Recovery After Various Exercises in Highly Trained Athletes
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SYSNO ASEP 0583013 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Autonomic Nervous System Recovery After Various Exercises in Highly Trained Athletes Author(s) Šaclová, L. (CZ)
Němcová, A. (CZ)
Šacl, J. (CZ)
Ronzhina, M. (CZ)
Smíšek, Radovan (UPT-D) RID, ORCID, SAI
Smítal, L. (CZ)
Vítek, M. (CZ)Number of authors 7 Article number 265 Source Title 2022 Computing in Cardiology (CinC). - New York : IEEE, 2022 - ISSN 2325-8861 - ISBN 979-8-3503-0097-0 Pages 2022-eptember (2022) Number of pages 4 s. Publication form Online - E Action Computing in Cardiology 2022 /49./ Event date 04.09.2022 - 07.09.2022 VEvent location Tampere Country FI - Finland Event type WRD Language eng - English Country US - United States Keywords autonomic nervous system ; heart rate variability ; running training session Subject RIV IN - Informatics, Computer Science OECD category Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) Institutional support UPT-D - RVO:68081731 EID SCOPUS 85152951931 DOI 10.22489/CinC.2022.265 Annotation 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: 12 highly trained runners participated in this study. Each subject completed three types of TS LIT running, HIIT running and plyometric. 5 min pre-exercise ECGs were recorded just before TS and 5-min postexercise ECGs were recorded 10 min after TS. Altogether 13 time-domain and frequency-domain HRV features were calculated. Finally, the changes between pre- and postexercise values of HR V features were computed. Results: From 13 tested features, 9 and 10 features were statistically significant for distinguishing between plyometrics and LIT and HIIT and LIT respectively. There are no statistically significant differences in HRV changes between plyometrics and HIIT. It could be assumed these two TS affect ANS similarly. Workplace Institute of Scientific Instruments Contact Martina Šillerová, sillerova@ISIBrno.Cz, Tel.: 541 514 178 Year of Publishing 2024 Electronic address https://ieeexplore.ieee.org/document/10081787
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