Detection of the Anaerobic Threshold in Endurance Sports: Validation of a New Method Using Correlation Properties of Heart Rate Variability.

HRV autonomic nervous system endurance training intensity distribution

Journal

Journal of functional morphology and kinesiology
ISSN: 2411-5142
Titre abrégé: J Funct Morphol Kinesiol
Pays: Switzerland
ID NLM: 101712257

Informations de publication

Date de publication:
26 Apr 2021
Historique:
received: 31 03 2021
revised: 21 04 2021
accepted: 23 04 2021
entrez: 30 4 2021
pubmed: 1 5 2021
medline: 1 5 2021
Statut: epublish

Résumé

Past attempts to define an anaerobic threshold (AnT) have relied upon gas exchange kinetics, lactate testing and field-based evaluations. DFA a1, an index of heart rate (HR) variability (HRV) fractal correlation properties, has been shown to decrease with exercise intensity. The intent of this study is to investigate whether the AnT derived from gas exchange is associated with the transition from a correlated to uncorrelated random HRV pattern signified by a DFA a1 value of 0.5. HRV and gas exchange data were obtained from 15 participants during an incremental treadmill run. Comparison of the HR reached at the second ventilatory threshold (VT2) was made to the HR reached at a DFA a1 value of 0.5 (HRVT2). Based on Bland-Altman analysis and linear regression, there was strong agreement between VT2 and HRVT2 measured by HR (

Identifiants

pubmed: 33925974
pii: jfmk6020038
doi: 10.3390/jfmk6020038
pmc: PMC8167649
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Bruce Rogers (B)

College of Medicine, University of Central Florida, 6850 Lake Nona Boulevard, Orlando, FL 32827-7408, USA.

David Giles (D)

Lattice Training Ltd., Chesterfield S41 9AT, UK.

Nick Draper (N)

School of Health Sciences, College of Education, Health and Human Development, University of Canterbury, 8041 Christchurch, New Zealand.

Laurent Mourot (L)

EA3920 Prognostic Factors and Regulatory Factors of Cardiac and Vascular Pathologies, Exercise Performance Health Innovation (EPHI) Platform, University of Bourgogne Franche-Comté, 25000 Besançon, France.
Division for Physical Education, National Research Tomsk Polytechnic University, Lenin Ave, 30, 634050 Tomsk Oblast, Russia.

Thomas Gronwald (T)

Department of Performance, Neuroscience, Therapy and Health, Faculty of Health Sciences, MSH Medical School Hamburg, University of Applied Sciences and Medical University, Am Kaiserkai 1, 20457 Hamburg, Germany.

Classifications MeSH