The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Assessing Physical Activity Using Wearable Monitors: Measures of Physical Activity
Open accessAbstract
BACKGROUND: Physical activity may be defined broadly as "all bodily actions produced by the contraction of skeletal muscle that increase energy expenditure above basal level." Physical activity is a complex construct that can be classified into major categories qualitatively, quantitatively, or contextually. The quantitative assessment of physical activity using wearable monitors is grounded in the measurement of energy expenditure. Six main categories of wearable monitors are currently available to investigators: pedometers, load transducers/foot-contact monitors, accelerometers, HR monitors, combined accelerometer and HR monitors, and multiple sensor systems. BEST PRACTICES: Currently available monitors are capable of measuring total physical activity as well as components of physical activity that play important roles in human health. The selection of wearable monitors for measuring physical activity will depend on the physical activity component of interest, study objectives, characteristics of the target population, and study feasibility in terms of cost and logistics. FUTURE DIRECTIONS: Future development of sensors and analytical techniques for assessing physical activity should focus on the dynamic ranges of sensors, comparability for sensor output across manufacturers, and the application of advanced modeling techniques to predict energy expenditure and classify physical activities. New approaches for qualitatively classifying physical activity should be validated using direct observation or recording. New sensors and methods for quantitatively assessing physical activity should be validated in laboratory and free-living populations using criterion methods of calorimetry or doubly labeled water.
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Compendium of Physical Activities: Classification of energy costs of human physical activities
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Self-citationThe Technology of Accelerometry-Based Activity Monitors: Current and Future
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Self-citationAccuracy and Reliability of 10 Pedometers for Measuring Steps over a 400-m Walk
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An official European Respiratory Society statement on physical activity in COPD
Watz, H., Pitta, F., Rochester, C. L., Garcia-Aymerich, J., ZuWallack, R., Troosters, T., Vaes, A. W., Puhan, M. A., Jehn, M., Polkey, M. I., et al. (2014) · European Respiratory Journal · doi:10.1183/09031936.00046814 · Cited by 526
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“Y Score = 5 Butte et al. (2012) [40] 1.”
Self-citationActigraph GT3X: Validation and Determination of Physical Activity Intensity Cut Points
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Metadata
- Authors
- BUTTE, N. F., EKELUND, U., & WESTERTERP, K. R.
- Affiliations
- Agricultural Research Service (US)
- University of Cambridge (GB)
- Maastricht University (NL)
- Venue
- Medicine & Science in Sports & Exercise
- Published
- 2012-01
- Volume
- 44
- Issue
- 1S
- Pages
- S5-S12
- ISSN
- 0195-9131 (ISSN-L)
- OpenAlex
- W2329242152
- Cited by
- 359
- References
- 51
- Citations by year
- 2026: 10 · 2025: 18 · 2024: 14 · 2023: 14 · 2022: 14 · 2021: 16 · 2020: 29 · 2019: 23 · 2018: 26 · 2017: 39 · 2016: 38 · 2015: 32 · 2014: 39 · 2013: 29 · 2012: 16
- FWCI
- 2.88
- Type
- journal article
- Language
- en
- Open access
- Licence
- other-oa
- Locations
- Medicine & Science in Sports & Exercise (publishedVersion)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, other-oa)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- physical activity measurement, wearable monitors, accelerometer, pedometers, heart rate monitors, energy expenditure, physical activity classification, sensor validation, doubly labeled water, calorimetry
- MeSH terms
- Energy Metabolism, Humans, Motor Activity, Exercise, Monitoring, Ambulatory
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