Estimation of maximal heart rate using the relationship between heart rate variability and exercise intensity in 40-67 years old men

European Journal of Applied Physiology
Laura KaravirtaKeijo Häkkinen

Abstract

Large interindividual variation in maximal heart rate (HRmax) may not be accounted for by age alone. In order to evaluate a novel method in the prediction of HRmax, this study examined the profile of HR variability (HRV) during exercise in 40-67 years old men (n = 74). R-R intervals were recorded during supine rest and during a graded exercise test by cycle ergometry until exhaustion. A third-degree polynomial function was fitted to the HRV data recorded during exercise to represent the HRV profile of each subject. The instantaneous beat-to-beat R-R interval variability (SD1), high (HF) and low frequency power decreased between all consecutive exercise intensities (P < 0.033). The relationship between HRmax and a variable illustrating the declining rate of HF (HRHF50%) was stronger (r = 0.50, P < 0.001) than between HRmax and age (r = -0.36, P < 0.01). The regression analysis showed that a more accurate estimation of HR(max) was attained when HRV was used in the equation in addition to age: HRmax = 160.633-0.603(age) + 0.441(HRHF50%) (SEE = 9.8 bpm vs. 11.6 bpm in the equation based on age alone). The decline of HRV during incremental exercise seems to be useful for accurate estimation of maximal heart rate.

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Citations

May 18, 2010·Diabetes Technology & Therapeutics·Jerrold Scott PetrofskyScott Lee
Mar 3, 2009·Medical Engineering & Physics·Jerrold S PetrofskyTrevor Lohman
Oct 24, 2017·Australasian Physical & Engineering Sciences in Medicine·Johan CassirameLaurent Mourot
Aug 29, 2009·Circulation Journal : Official Journal of the Japanese Circulation Society·Vitor Oliveira CarvalhoGuilherme Veiga Guimarães

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