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Assessment of heart rate variability during an ultra-endurance mountain trail race by multi-scale entropy analysis

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10.3390/e19120658
 
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Vallverdú Ferrer, MontserratMés informacióMés informacióMés informació
Ruiz Muñoz, Aroa
Roca Rodríguez, Emma
Caminal Magrans, PereMés informacióMés informacióMés informació
Rodríguez Guisado, Ferran Agustin
Irurtia Amigo, Alfredo
Perera Lluna, AlexandreMés informacióMés informacióMés informació
Document typeArticle
Defense date2017-12-01
Rights accessOpen Access
Attribution-NonCommercial-NoDerivs 3.0 Spain
This work is protected by the corresponding intellectual and industrial property rights. Except where otherwise noted, its contents are licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
The aim of the study was to analyze heart rate variability (HRV) response to high-intensity exercise during a 35-km mountain trail race and to ascertain whether fitness level could influence autonomic nervous system (ANS) modulation. Time-domain, frequency-domain, and multi-scale entropy (MSE) indexes were calculated for eleven mountain-trail runners who completed the race. Many changes were observed, mostly related to exercise load and fatigue. These changes were characterized by increased mean values and standard deviations of the normal-to-normal intervals associated with sympathetic activity, and by decreased differences between successive intervals related to parasympathetic activity. Normalized low frequency (LF) power suggested that ANS modulation varied greatly during the race and between individuals. Normalized high frequency (HF) power, associated with parasympathetic activity, varied considerably over the race, and tended to decrease at the final stages, whereas changes in the LF/HF ratio corresponded to intervals with varying exercise load. MSE indexes, related to system complexity, indicated the existence of many interactions between the heart and its neurological control mechanism. The time-domain, frequency-domain, and MSE indexes were also able to discriminate faster from slower runners, mainly in the more difficult and in the final stages of the race. These findings suggest the use of HRV analysis to study cardiac function mechanisms in endurance sports
CitationVallverdu, M., Ruiz, A., Roca Rodríguez, Emma, Caminal, P., Rodríguez, F., Irurtia-Amigo, A., Perera, A. Assessment of heart rate variability during an ultra-endurance mountain trail race by multi-scale entropy analysis. "Entropy: international and interdisciplinary journal of entropy and information studies", 1 Desembre 2017, vol. 19, núm. 12. 
URIhttp://hdl.handle.net/2117/115160
DOI10.3390/e19120658
ISSN1099-4300
Publisher versionhttp://www.mdpi.com/1099-4300/19/12/658
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  • Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial - Articles de revista [1.535]
  • SISBIO - Senyals i Sistemes Biomèdics - Articles de revista [70]
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