Literature DB >> 24231307

Second ventilatory threshold from heart-rate variability: valid when the upper body is involved?

Laurent Mourot1, Nicolas Fabre, Aldo Savoldelli, Federico Schena.   

Abstract

To determine the most accurate method based on spectral analysis of heart-rate variability (SA-HRV) during an incremental and continuous maximal test involving the upper body, the authors tested 4 different methods to obtain the heart rate (HR) at the second ventilatory threshold (VT(2)). Sixteen ski mountaineers (mean ± SD; age 25 ± 3 y, height 177 ± 8 cm, mass 69 ± 10 kg) performed a roller-ski test on a treadmill. Respiratory variables and HR were continuously recorded, and the 4 SA-HRV methods were compared with the gas-exchange method through Bland and Altman analyses. The best method was the one based on a time-varying spectral analysis with high frequency ranging from 0.15 Hz to a cutoff point relative to the individual's respiratory sinus arrhythmia. The HR values were significantly correlated (r(2) = .903), with a mean HR difference with the respiratory method of 0.1 ± 3.0 beats/min and low limits of agreements (around -6 /+6 beats/min). The 3 other methods led to larger errors and lower agreements (up to 5 beats/min and around -23/+20 beats/min). It is possible to accurately determine VT(2) with an HR monitor during an incremental test involving the upper body if the appropriate HRV method is used.

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Year:  2013        PMID: 24231307     DOI: 10.1123/ijspp.2013-0286

Source DB:  PubMed          Journal:  Int J Sports Physiol Perform        ISSN: 1555-0265            Impact factor:   4.010


  6 in total

1.  Assessment of Heart Rate Variability Thresholds from Incremental Treadmill Tests in Five Cross-Country Skiing Techniques.

Authors:  Ibai Mendia-Iztueta; Kristen Monahan; Heikki Kyröläinen; Esa Hynynen
Journal:  PLoS One       Date:  2016-01-04       Impact factor: 3.240

2.  Applicability of Dmax Method on Heart Rate Variability to Estimate the Lactate Thresholds in Male Runners.

Authors:  Eduardo Marcel Fernandes Nascimento; Diego Antunes; Paulo Cesar do Nascimento Salvador; Fernando Klitzke Borszcz; Ricardo Dantas de Lucas
Journal:  J Sports Med (Hindawi Publ Corp)       Date:  2019-09-19

3.  Fatigue Evaluation through Machine Learning and a Global Fatigue Descriptor.

Authors:  G Ramos; J R Vaz; G V Mendonça; P Pezarat-Correia; J Rodrigues; M Alfaras; H Gamboa
Journal:  J Healthc Eng       Date:  2020-01-07       Impact factor: 2.682

4.  Assessment of Maximal Aerobic Capacity in Ski Mountaineering: A Laboratory-Based Study.

Authors:  Verena Menz; Martin Niedermeier; Rainer Stehle; Hendrik Mugele; Martin Faulhaber
Journal:  Int J Environ Res Public Health       Date:  2021-06-30       Impact factor: 3.390

5.  Determination of the Respiratory Compensation Point by Detecting Changes in Intercostal Muscles Oxygenation by Using Near-Infrared Spectroscopy.

Authors:  Felipe Contreras-Briceño; Maximiliano Espinosa-Ramirez; Vicente Keim-Bagnara; Matías Carreño-Román; Rafael Rodríguez-Villagra; Fernanda Villegas-Belmar; Ginés Viscor; Luigi Gabrielli; Marcelo E Andía; Oscar F Araneda; Daniel E Hurtado
Journal:  Life (Basel)       Date:  2022-03-17

6.  Heart rate variability to assess ventilatory thresholds in professional basketball players.

Authors:  Domingo Jesús Ramos-Campo; Jacobo A Rubio-Arias; Vicente Ávila-Gandía; Cristian Marín-Pagán; Antonio Luque; Pedro E Alcaraz
Journal:  J Sport Health Sci       Date:  2016-01-12       Impact factor: 7.179

  6 in total

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