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Accelerometry to estimate energy expenditure during activity: best practice with data loggers
Citation
Halsey, LG and Green, JA and Wilson, RP and Frappell, P, Accelerometry to estimate energy expenditure during activity: best practice with data loggers, Physiological and Biochemical Zoology, 82, (4) pp. 396-404. ISSN 1522-2152 (2009) [Refereed Article]
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Copyright Statement
© 2009 by The University of Chicago. All rights reserved.
DOI: doi:10.1086/589815
Abstract
Measurement of acceleration can be a proxy for energy expenditure
during movement. The variable overall dynamic body
acceleration (ODBA), used in recent studies, combines the dynamic
elements of acceleration recorded in all three dimensions
to measure acceleration and hence energy expenditure due to
body movement. However, the simplicity of ODBA affords it
limitations. Furthermore, while accelerometry data loggers enable
measures to be stored, recording at high frequencies represents
a limit to deployment periods as a result of logger
memory and/or battery exhaustion. Using bantam chickens
walking at different speeds in a respirometer while wearing an
accelerometer logger, we investigated the best proxies for rate
of oxygen consumption (VO2) from a range of different models using acceleration. We also investigated the effects of sampling
acceleration at different frequencies. The best predictor of
was a multiple regression including individual measures of
dynamic acceleration in each of the three dimensions. However,
R2 was relatively high for ODBA as well and also for certain
measures of dynamic acceleration in single dimensions. The
aforementioned are single variables, therefore easily derived onboard
a data logger and from which a simple calibration equation
can be derived. For calibrations of VO2 against ODBA, R2 was consistent as sampling number decreased down to 600 samples of each acceleration channel per ODBA data point,
beyond which R2 tended to be considerably lower. In conclusion,
data storage can be maximized when using acceleration
as a proxy for VO2 by consideration of reductions in (1) number of axes measured and (2) sampling frequency.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Keywords: | accelerometry, energy expenditure, data loggers, oxygen consumption |
| Research Division: | Biological Sciences |
| Research Group: | Physiology |
| Research Field: | Comparative Physiology |
| Objective Division: | Animal Production and Animal Primary Products |
| Objective Group: | Other Animal Production and Animal Primary Products |
| Objective Field: | Animal Welfare |
| UTAS Author: | Frappell, P (Professor Peter Frappell) |
| ID Code: | 62578 |
| Year Published: | 2009 |
| Web of Science® Times Cited: | 70 |
| Deposited By: | Zoology |
| Deposited On: | 2010-03-12 |
| Last Modified: | 2014-11-24 |
| Downloads: | 3 View Download Statistics |
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