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Evaluation of artificial neural network algorithms for predicting METs and activity type from accelerometer data: validation on an independent sample.
Freedson PS, Lyden K, Kozey-Keadle S, Staudenmayer J. Freedson PS, et al. J Appl Physiol (1985). 2011 Dec;111(6):1804-12. doi: 10.1152/japplphysiol.00309.2011. Epub 2011 Sep 1. J Appl Physiol (1985). 2011. PMID: 21885802 Free PMC article.
Previous work from our laboratory provided a "proof of concept" for use of artificial neural networks (nnets) to estimate metabolic equivalents (METs) and identify activity type from accelerometer data (Staudenmayer J, Pober D, Crouter S, Bassett D, Freedson P, J Ap …
Previous work from our laboratory provided a "proof of concept" for use of artificial neural networks (nnets) to estimate metabolic equivale …
Calibration of accelerometer output for children.
Freedson P, Pober D, Janz KF. Freedson P, et al. Med Sci Sports Exerc. 2005 Nov;37(11 Suppl):S523-30. doi: 10.1249/01.mss.0000185658.28284.ba. Med Sci Sports Exerc. 2005. PMID: 16294115 Review.
Energy cost of common activities in children and adolescents.
Lyden K, Keadle SK, Staudenmayer J, Freedson P, Alhassan S. Lyden K, et al. Among authors: freedson p. J Phys Act Health. 2013 Jan;10(1):62-9. doi: 10.1123/jpah.10.1.62. Epub 2012 Feb 29. J Phys Act Health. 2013. PMID: 22398418 Free PMC article.
182 results