Acceleration versus heart rate for estimating energy expenditure and speed during locomotion in animals: Tests with an easy model species, Homo sapiens

Halsey, Lewis G., Shepard, Emily L. C., Hulston, Carl J., Venables, Michelle C., White, Craig R., Jeukendrup, Asker E. and Wilson, Rory P. (2008) Acceleration versus heart rate for estimating energy expenditure and speed during locomotion in animals: Tests with an easy model species, Homo sapiens. Zoology, 111 3: 231-241. doi:10.1016/j.zool.2007.07.011


Author Halsey, Lewis G.
Shepard, Emily L. C.
Hulston, Carl J.
Venables, Michelle C.
White, Craig R.
Jeukendrup, Asker E.
Wilson, Rory P.
Title Acceleration versus heart rate for estimating energy expenditure and speed during locomotion in animals: Tests with an easy model species, Homo sapiens
Journal name Zoology   Check publisher's open access policy
ISSN 0944-2006
Publication date 2008-05-01
Sub-type Article (original research)
DOI 10.1016/j.zool.2007.07.011
Volume 111
Issue 3
Start page 231
End page 241
Total pages 11
Place of publication Jena, Germany
Publisher G. Fischer
Language eng
Subject 0608 Zoology
Abstract An important element in the measurement of energy budgets of free-living animals is the estimation of energy costs during locomotion. Using humans as a particularly tractable model species, we conducted treadmill experiments to test the validity of tri-axial accelerometry loggers, designed for use with animals in the field, to estimate rate of oxygen consumption (View the MathML source: an indirect measure of metabolic rate) and speed during locomotion. The predictive power of overall dynamic body acceleration (ODBA) obtained from loggers attached to different parts of the body was compared to that of heart rate (fH). When subject identity was included in the statistical analysis, ODBA was a good, though slightly poorer, predictor of View the MathML source and speed during locomotion on the flat (mean of two-part regressions: R2=0.91 and 0.91, from a logger placed on the neck) and View the MathML source during gradient walking (single regression: R2=0.77 from a logger placed on the upper back) than was fH (R2=0.96, 0.94, 0.86, respectively). For locomotion on the flat, ODBA was still a good predictor when subject identity was replaced by subject mass and height (morphometrics typically obtainable from animals in the field; R2=0.92 and 0.89) and a slightly better overall predictor than fH (R2=0.92 and 0.85). For gradient walking, ODBA predicted View the MathML source more accurately than before (R2=0.83) and considerably better than did fH (R2=0.77). ODBA and fH combined were the most powerful predictor of View the MathML source and speed during locomotion. However, ODBA alone appears to be a good predictor and suitable for use in the field in particular, given that accelerometry traces also provide information on the timing, frequency and duration of locomotion events, and also the gait being used.
Keyword Accelerometry
Heart rate
Metabolic rate
Oxygen consumption
Locomotion
Speed
Energy expenditure
Q-Index Code C1
Q-Index Status Provisional Code

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
School of Biological Sciences Publications
 
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