Reply to Bonomi and Plasqui

Journal of Applied Physiology

Volumn 112, Issue 5, 2012, Pages 933-

  Freedson, Patty ^a   Lyden, Kate ^a   Kozey Keadle, Sarah ^a   Staudenmayer, John ^a  

^a UNIVERSITY OF MASSACHUSETTS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84859573211     PISSN: 87507587     EISSN: 15221601     Source Type: Journal    
DOI: 10.1152/japplphysiol.01546.2011     Document Type: Letter

References (6)

1. Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, Strath SJ, O'Brien WL, Bassett DR, Schmitz KH, Emplaincourt PO, Jacobs DR, Leon AS. Compendium of physical activities: an update of activity codes and MET values. Med Sci Sports Exerc 32, Suppl: S498-S516, 2000.
2. Bonomi AG, Plasqui G. "Divide and conquer": assessing energy expenditure following physical activity type classification. J Appl Physiol; doi: 10.1152/japplphysiol.01403.2011.
3. Bonomi AG, Plasqui G, Goris AH, Westerterp KR. Improving assessment of daily energy expenditure by identifying types of physical activity with a single accelerometer. J Appl Physiol 107: 655-661, 2009.
4. Crouter SE, Clowers KG, Bassett DR Jr. A novel method for using accelerometer data to predict energy expenditure. J Appl Physiol 100: 1324-1331, 2006. (Pubitemid 43671491)
5. Freedson PS, Lyden K, Kozey-Keadle S, Staudenmayer J. Evaluation of artificial neural network algorithms for predicting METs and activity type from accelerometer data: Validation on an independent sample. J Appl Physiol 111: 1804-1812, 2011.
6. Staudenmayer J, Pober D, Crouter S, Bassett D, Freedson P. An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer. J Appl Physiol 107: 1300-1307, 2009.