Autonomic Nervous System Recovery After Various Exercises in Highly Trained Athletes
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F22%3A00583013" target="_blank" >RIV/68081731:_____/22:00583013 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26220/23:PU146288
Result on the web
<a href="https://ieeexplore.ieee.org/document/10081787" target="_blank" >https://ieeexplore.ieee.org/document/10081787</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.22489/CinC.2022.265" target="_blank" >10.22489/CinC.2022.265</a>
Alternative languages
Result language
angličtina
Original language name
Autonomic Nervous System Recovery After Various Exercises in Highly Trained Athletes
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2022 Computing in Cardiology (CinC)
ISBN
979-8-3503-0097-0
ISSN
2325-8861
e-ISSN
2325-887X
Number of pages
4
Pages from-to
"2022"-"eptember (2022)"
Publisher name
IEEE
Place of publication
New York
Event location
Tampere
Event date
Sep 4, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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