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Accelerometry to estimate energy expenditure during activity: best practice with data loggers


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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© 2009 by The University of Chicago. All rights reserved.

DOI: doi:10.1086/589815


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:Zoology
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:97
Deposited By:Zoology
Deposited On:2010-03-12
Last Modified:2014-11-24
Downloads:3 View Download Statistics

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