Document Detail


Calibration and validation of wearable monitors.
MedLine Citation:
PMID:  22157772     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
BACKGROUND: Wearable monitors are increasingly being used to objectively monitor physical activity in research studies within the field of exercise science. Calibration and validation of these devices are vital to obtaining accurate data. This article is aimed primarily at the physical activity measurement specialist, although the end user who is conducting studies with these devices also may benefit from knowing about this topic.
BEST PRACTICES: Initially, wearable physical activity monitors should undergo unit calibration to ensure interinstrument reliability. The next step is to simultaneously collect both raw signal data (e.g., acceleration) from the wearable monitors and rates of energy expenditure, so that algorithms can be developed to convert the direct signals into energy expenditure. This process should use multiple wearable monitors and a large and diverse subject group and should include a wide range of physical activities commonly performed in daily life (from sedentary to vigorous).
FUTURE DIRECTIONS: New methods of calibration now use "pattern recognition" approaches to train the algorithms on various activities, and they provide estimates of energy expenditure that are much better than those previously available with the single-regression approach. Once a method of predicting energy expenditure has been established, the next step is to examine its predictive accuracy by cross-validating it in other populations. In this article, we attempt to summarize the best practices for calibration and validation of wearable physical activity monitors. Finally, we conclude with some ideas for future research ideas that will move the field of physical activity measurement forward.
Authors:
David R Bassett; Alex Rowlands; Stewart G Trost
Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural; Review    
Journal Detail:
Title:  Medicine and science in sports and exercise     Volume:  44     ISSN:  1530-0315     ISO Abbreviation:  Med Sci Sports Exerc     Publication Date:  2012 Jan 
Date Detail:
Created Date:  2011-12-14     Completed Date:  2012-10-22     Revised Date:  2013-07-15    
Medline Journal Info:
Nlm Unique ID:  8005433     Medline TA:  Med Sci Sports Exerc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  S32-8     Citation Subset:  IM; S    
Affiliation:
University of Tennessee, Knoxville, TN 37919, USA. dbassett@utk.edu
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MeSH Terms
Descriptor/Qualifier:
Calibration
Energy Metabolism / physiology*
Exercise / physiology
Humans
Monitoring, Ambulatory / instrumentation*,  methods,  standards
Motor Activity / physiology*
Reproducibility of Results
Grant Support
ID/Acronym/Agency:
5 R01 HD55400/HD/NICHD NIH HHS; 5 R21 CA122430/CA/NCI NIH HHS; R21 CA122430-02/CA/NCI NIH HHS
Comments/Corrections

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