Autonomic Nervous System Recovery After Various Exercises in Highly Trained Athletes
Identifikátory výsledku
Kód výsledku v 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>
Nalezeny alternativní kódy
RIV/00216305:26220/23:PU146288
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Autonomic Nervous System Recovery After Various Exercises in Highly Trained Athletes
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Autonomic Nervous System Recovery After Various Exercises in Highly Trained Athletes
Popis výsledku anglicky
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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
2022 Computing in Cardiology (CinC)
ISBN
979-8-3503-0097-0
ISSN
2325-8861
e-ISSN
2325-887X
Počet stran výsledku
4
Strana od-do
"2022"-"eptember (2022)"
Název nakladatele
IEEE
Místo vydání
New York
Místo konání akce
Tampere
Datum konání akce
4. 9. 2022
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—