The Japanese Journal of Physiology · 2000 · 14 citations · 13 references
Life SciencesPhysiologyExercise PhysiologyExercise TestingPhysiological Systems ModelingAerobic ExerciseCardiopulmonary Exercise TestingCardiorespiratory FitnessCycle Ergometer TestingHeart Rate Response AssessmentConstant Load TestingConstant-load Exercise TestingExponential Curve FittingHeart RateHeart Rate Response TestingHeart Rate Response To ExerciseLow-intensity ExerciseParametric Curve Fitting
We attempted to fit heart rate (HR) changes induced by constant exercise loads of different intensities to an exponential hyperbolic sine curve by the least-squares method, and we compared the results with the fitting of the changes to exponential curves. Seven healthy male volunteers performed three different intensities of constant-load exercise on a bicycle ergometer. The exponential hyperbolic sine function adequately fitted the HR responses induced by all three different intensities of loads: low (30 W: correlation coefficient, r = 0.68 +/- 0.13, mean +/- SD), moderate (75 W: r = 0.93 +/- 0.07) and high (125 W: r = 0.97 +/- 0.02). The first-order exponential curve fitted only the moderate load response. Although the second-order exponential equation fitted the HR response for both the moderate and high loads, the equation did not fit the low-load response (r = 0.43 +/- 0.26). In low-load exercise, the sum of the power of the residuals for the exponential hyperbolic sine curve fitting was significantly smaller than that for the first- or second-order exponential curve fitting. In conclusion, the exponential hyperbolic sine function is useful for quantitative analyses of the HR response to exercise loads of various intensities.
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Impaired Heart Rate Response to Graded Exercise
Michael S. Lauer, Peter M. Okin, Martin G. Larson et al. · Circulation · 1996 · 531 citations
Medicine, Cardiology, Physiology +16