Calibration and validation of wearable monitors
Bassett Jr, D.R., Rowlands, A., & Trost, S.G. (2012) Calibration and validation of wearable monitors. Medicine and Science in Sports and Exercise, 44(1S), S32-S38.
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.
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).
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.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Journal Article|
|Additional Information:||Cited By (since 1996):38
Export Date: 12 May 2014
PubMed ID: 22157772
|Keywords:||accelerometer, energy expenditure, hr, motion sensor, pattern recognition, physical activity, ambulatory monitoring, article, calibration, energy metabolism, exercise, human, instrumentation, methodology, motor activity, physiology, reproducibility, standard, Humans, Monitoring, Ambulatory, Reproducibility of Results|
|Divisions:||Current > QUT Faculties and Divisions > Faculty of Health|
|Deposited On:||22 May 2014 04:23|
|Last Modified:||23 May 2014 00:59|
Repository Staff Only: item control page