Key result
The exponential hyperbolic sine function adequately fitted heart rate responses to low (r=0.68), moderate (r=0.93), and high (r=0.97) constant-load exercise, outperforming exponential curves.
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An exponential hyperbolic sine function can accurately model heart rate responses across varying intensities of constant-load exercise, overcoming limitations of traditional exponential curve fitting at low workloads.
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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Mizuo et al. (2000) studied Healthy volunteers (n=7). Exponential hyperbolic sine function fitting vs. First- or second-order exponential curve fitting was evaluated on Correlation coefficient (r) of heart rate response fitting. The exponential hyperbolic sine function adequately fitted heart rate responses to low (r=0.68), moderate (r=0.93), and high (r=0.97) constant-load exercise, outperforming exponential curves.
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