The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Calibration of the Computer Science and Applications, Inc. accelerometer
Abstract
PURPOSE: We established accelerometer count ranges for the Computer Science and Applications, Inc. (CSA) activity monitor corresponding to commonly employed MET categories. METHODS: Data were obtained from 50 adults (25 males, 25 females) during treadmill exercise at three different speeds (4.8, 6.4, and 9.7 km x h(-1)). RESULTS: Activity counts and steady-state oxygen consumption were highly correlated (r = 0.88), and count ranges corresponding to light, moderate, hard, and very hard intensity levels were < or = 1951, 1952-5724, 5725-9498, > or = 9499 cnts x min(-1), respectively. A model to predict energy expenditure from activity counts and body mass was developed using data from a random sample of 35 subjects (r2 = 0.82, SEE = 1.40 kcal x min(-1)). Cross validation with data from the remaining 15 subjects revealed no significant differences between actual and predicted energy expenditure at any treadmill speed (SEE = 0.50-1.40 kcal x min(-1)). CONCLUSIONS: These data provide a template on which patterns of activity can be classified into intensity levels using the CSA accelerometer.
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“Freedson et al. [31] cut-points were used to identify time spent in moderate (≥1,952 counts/min), vigorous (≥5,725 counts/min), and moderate-to-vigorous physical activity (MVPA, sum of moderate and vigorous) during wear time on valid days (i.e., ≥10 hours of wear time per day, without any excessive counts ≥20,000 counts/min).”
From High-Intensity Interval Training as an Efficacious Alternative to Moderate-Intensity Continuous Training for Adults with Prediabetes (2015) · cites this paper as [31]
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Cites
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Validity of the Computer Science and Applications, Inc. (CCA) activity monitor
Melanson, E. L., & Freedson, P. S. (1995) · Medicine & Science in Sports & Exercise · doi:10.1249/00005768-199506000-00021 · Cited by 417
Self-citationThe stability of children??s physical activity as measured by accelerometry and self-report
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Research works printed but not linked: 2
- Casperson, 1989, Exerc Sport Sci Rev, 17, 423
- Janz, 1995, Med Sci Sports Exerc, 27, 1326
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International physical activity questionnaire: 12-country reliability and validity
CRAIG, C. L., MARSHALL, A. L., SJ??STR??M, M., BAUMAN, A. E., BOOTH, M. L., AINSWORTH, B. E., PRATT, M., EKELUND, U., YNGVE, A., SALLIS, J. F., et al. (2003) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000078924.61453.fb · Cited by 21,619
Physical Activity in the United States Measured by Accelerometer
TROIANO, R. P., BERRIGAN, D., DODD, K. W., MÂSSE, L. C., TILERT, T., & MCDOWELL, M. (2008) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e31815a51b3 · Cited by 7,638
Lee, P. H., Macfarlane, D. J., Lam, T., & Stewart, S. M. (2011) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/1479-5868-8-115 · Cited by 3,370
Assessment of physical activity by self-report: Status, limitations, and future directions
Sallis, J. F., & Saelens, B. E. (2000) · Research Quarterly for Exercise and Sport · doi:10.1080/02701367.2000.11082780 · Cited by 2,351
Conducting accelerometer-based activity assessments in field-based research
TROST, S. G., MCIVER, K. L., & PATE, R. R. (2005) · Medicine & Science in Sports & Exercise · doi:10.1249/01.mss.0000185657.86065.98 · Cited by 2,033
Metadata
- Authors
- FREEDSON, P. S., MELANSON, E., & SIRARD, J.
- Affiliations
- University of Massachusetts Amherst (US)
- Venue
- Medicine & Science in Sports & Exercise
- Published
- 1998-05
- Volume
- 30
- Issue
- 5
- Pages
- 777-781
- ISSN
- 0195-9131 (ISSN-L)
- OpenAlex
- W2011781303
- Cited by
- 3,825
- References
- 10
- Citations by year
- 2026: 128 · 2025: 171 · 2024: 194 · 2023: 209 · 2022: 259 · 2021: 323 · 2020: 274 · 2019: 286 · 2018: 238 · 2017: 198 · 2016: 219 · 2015: 228 · 2014: 194 · 2013: 171 · 2012: 142
- FWCI
- 5.33
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Medicine & Science in Sports & Exercise (publishedVersion)
- PubMed (publishedVersion)
- ScholarWorks@UMassAmherst (University of Massachusetts Amherst) (submittedVersion)
- 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 › Medicine › Physiology (medical) › Cardiovascular and exercise physiology
- Keywords
- accelerometer calibration, wearable activity trackers, exercise intensity classification, energy expenditure estimation, treadmill exercise, oxygen consumption, body mass, physical activity monitoring
- MeSH terms
- Adult, Calibration, Energy Metabolism, Exercise Test, Female, Humans, Male, Physical Fitness, Reference Values
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