Evaluation of artificial neural network algorithms for predicting METs and activity type from accelerometer data: validation on an independent sample

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 Appl Physiol 107: 1330–1307, 2009)....

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Hauptverfasser: Freedson, Patty S., Lyden, Kate, Kozey-Keadle, Sarah, Staudenmayer, John
Format: Artigo
Sprache:Inglês
Veröffentlicht: American Physiological Society 2011
Schlagworte:
Innovative Methodology
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3233887/
https://ncbi.nlm.nih.gov/pubmed/21885802
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1152/japplphysiol.00309.2011
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