Ventilatory threshold prediction by spectral analysis of heart rate variability in incremental maximal tests
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/10729
Tipus de documentComunicació de congrés
Data publicació2010
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
Ventilatory thresholds (VT1 and VT2) are useful in
many fields of medicine and sports. Nevertheless, their
measurement is cumbersome and needs trained
personnel. This work proposes an alternative method to
predict VT1, VT2 and maximum loads in incremental
maximal tests based on heart rate variability (HRV)
analysis. Twelve competitive male cyclists executed an
incremental exhaustive test. During the test, RR time
series and gas concentrations were recorded. After
artifact correction the power spectrum was estimated in a
sliding window, and central frequency (CF) and
bandwidth that contains half the total power (BW) were
computed. An automatic algorithm recognized the loads
where CF and BW undergo a significant change. These
loads were used as inputs in linear regression models to
predict VT1, VT2 and maximum loads. The errors of the
predictions are similar to the load resolution.
CitacióBenítez, A. [et al.]. Ventilatory threshold prediction by spectral analysis of heart rate variability in incremental maximal tests. A: Computers in Cardiology. "Computing in Cardiology 2010". Belfast: 2010, p. 939-942.
ISBN0276-6574
Versió de l'editorhttp://www.cinc.org/archives/2010/
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0939.pdf | Publicació en actes del congrés (online, no hi ha llibre en paper) | 169,5Kb | Visualitza/Obre |