Literature DB >> 22157772

Calibration and validation of wearable monitors.

David R Bassett1, Alex Rowlands, Stewart G Trost.   

Abstract

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.

Entities:  

Mesh:

Year:  2012        PMID: 22157772      PMCID: PMC3273335          DOI: 10.1249/MSS.0b013e3182399cf7

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  25 in total

1.  Measurement of human daily physical activity.

Authors:  Kuan Zhang; Patricia Werner; Ming Sun; F Xavier Pi-Sunyer; Carol N Boozer
Journal:  Obes Res       Date:  2003-01

Review 2.  The technology of accelerometry-based activity monitors: current and future.

Authors:  Kong Y Chen; David R Bassett
Journal:  Med Sci Sports Exerc       Date:  2005-11       Impact factor: 5.411

3.  Principles of design and analyses for the calibration of accelerometry-based activity monitors.

Authors:  Gregory J Welk
Journal:  Med Sci Sports Exerc       Date:  2005-11       Impact factor: 5.411

4.  Development of novel techniques to classify physical activity mode using accelerometers.

Authors:  David M Pober; John Staudenmayer; Christopher Raphael; Patty S Freedson
Journal:  Med Sci Sports Exerc       Date:  2006-09       Impact factor: 5.411

5.  A novel method for using accelerometer data to predict energy expenditure.

Authors:  Scott E Crouter; Kurt G Clowers; David R Bassett
Journal:  J Appl Physiol (1985)       Date:  2005-12-01

6.  Calibration of the Computer Science and Applications, Inc. accelerometer.

Authors:  P S Freedson; E Melanson; J Sirard
Journal:  Med Sci Sports Exerc       Date:  1998-05       Impact factor: 5.411

7.  Estimating energy expenditure using accelerometers.

Authors:  Scott E Crouter; James R Churilla; David R Bassett
Journal:  Eur J Appl Physiol       Date:  2006-10-21       Impact factor: 3.078

8.  Simultaneous measurement of heart rate and body motion to quantitate physical activity.

Authors:  W L Haskell; M C Yee; A Evans; P J Irby
Journal:  Med Sci Sports Exerc       Date:  1993-01       Impact factor: 5.411

9.  Estimation of energy expenditure by a portable accelerometer.

Authors:  H J Montoye; R Washburn; S Servais; A Ertl; J G Webster; F J Nagle
Journal:  Med Sci Sports Exerc       Date:  1983       Impact factor: 5.411

10.  Branched equation modeling of simultaneous accelerometry and heart rate monitoring improves estimate of directly measured physical activity energy expenditure.

Authors:  Søren Brage; Niels Brage; Paul W Franks; Ulf Ekelund; Man-Yu Wong; Lars Bo Andersen; Karsten Froberg; Nicholas J Wareham
Journal:  J Appl Physiol (1985)       Date:  2003-09-12
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  90 in total

1.  Effect of BMI on prediction of accelerometry-based energy expenditure in youth.

Authors:  Joshua Warolin; Amanda R Carrico; Lauren E Whitaker; Li Wang; Kong Y Chen; Sari Acra; Maciej S Buchowski
Journal:  Med Sci Sports Exerc       Date:  2012-12       Impact factor: 5.411

2.  Independent Associations Between Sedentary Behaviors and Mental, Cognitive, Physical, and Functional Health Among Older Adults in Retirement Communities.

Authors:  Dori E Rosenberg; John Bellettiere; Paul A Gardiner; Veronica N Villarreal; Katie Crist; Jacqueline Kerr
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2015-08-13       Impact factor: 6.053

3.  Accelerometry data in health research: challenges and opportunities.

Authors:  Marta Karas; Jiawei Bai; Marcin Strączkiewicz; Jaroslaw Harezlak; Nancy W Glynn; Tamara Harris; Vadim Zipunnikov; Ciprian Crainiceanu; Jacek K Urbanek
Journal:  Stat Biosci       Date:  2019-01-12

4.  The Relation Between Physical Activity and Cognitive Change in Older Latinos.

Authors:  Shannon Halloway; JoEllen Wilbur; Michael E Schoeny; Lisa L Barnes
Journal:  Biol Res Nurs       Date:  2017-06-29       Impact factor: 2.522

Review 5.  How consumer physical activity monitors could transform human physiology research.

Authors:  Stephen P Wright; Tyish S Hall Brown; Scott R Collier; Kathryn Sandberg
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2017-01-04       Impact factor: 3.619

6.  Healthy families study: design of a childhood obesity prevention trial for Hispanic families.

Authors:  Roger Zoorob; Maciej S Buchowski; Bettina M Beech; Juan R Canedo; Rameela Chandrasekhar; Sylvie Akohoue; Pamela C Hull
Journal:  Contemp Clin Trials       Date:  2013-04-26       Impact factor: 2.226

Review 7.  Health and social media: perfect storm of information.

Authors:  Luis Fernández-Luque; Teresa Bau
Journal:  Healthc Inform Res       Date:  2015-04-30

8.  Modifying Accelerometer Cut-Points Affects Criterion Validity in Simulated Free-Living for Adolescents and Adults.

Authors:  Paul R Hibbing; David R Bassett; Scott E Crouter
Journal:  Res Q Exerc Sport       Date:  2020-02-05       Impact factor: 2.500

9.  Validity of accelerometry in ambulatory children and adolescents with cerebral palsy.

Authors:  Kelly M Clanchy; Sean M Tweedy; Roslyn N Boyd; Stewart G Trost
Journal:  Eur J Appl Physiol       Date:  2011-03-26       Impact factor: 3.078

10.  Classification accuracy of the wrist-worn gravity estimator of normal everyday activity accelerometer.

Authors:  Whitney A Welch; David R Bassett; Dixie L Thompson; Patty S Freedson; John W Staudenmayer; Dinesh John; Jeremy A Steeves; Scott A Conger; Tyrone Ceaser; Cheryl A Howe; Jeffer E Sasaki; Eugene C Fitzhugh
Journal:  Med Sci Sports Exerc       Date:  2013-10       Impact factor: 5.411

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