SenseWearMini and Actigraph GT3X Accelerometer Classification of Observed Sedentary and Light-Intensity Physical Activities in a Laboratory Setting
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Purpose: To compare the ability of SenseWear Mini (SWm) and Actigraph GT3X (AG 3) accelerometers to differentiate between healthy adults' observed sedentary and light activities in a laboratory setting. Methods: The 22 participants (15 women, 7 men), ages 19 to 72 years, wore SWm and AG 3 monitors and performed five sedentary and four light activities for 5 minutes each while observed in a laboratory setting. Performance was examined through comparisons of accuracy, sensitivity, specificity, positive and negative predictive values, and positive and negative likelihood ratios. Correct identification of both types of activities was examined using area under the receiver operating characteristic curve (AUC). Results: Both monitors demonstrated excellent ability to identify sedentary activities (sensitivity>0.89). The SWm monitor was better at identifying light activities (specificity 0.61–0.71) than the AG 3 monitor (specificity 0.27–0.47) and thus also showed a greater ability to correctly identify both sedentary and light activities (SWm AUC 0.84; AG 3 AUC 0.62–0.73). Conclusions: SWm may be a more suitable monitor for detecting time spent in sedentary and light-intensity activities. This finding has clinical and research relevance for evaluation of time spent in lower intensity physical activities by sedentary adults.
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Compared with Fitbit, SenseWear is a superior outcome measure because of its ability to differentiate between sedentary and light activities.
“Compared with Fitbit, SenseWear is a superior outcome measure because of its ability to differentiate between sedentary and light activities [36].”
From A Community-Based Physical Activity Counselling Program for People With Knee Osteoarthritis: Feasibility and Preliminary Efficacy of the Track-OA Study (2017) · cites this paper as [36]
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- Authors
- Feehan, L. M., Goldsmith, C. H., Leung, A. Y. F., & Li, L. C.
- Affiliations
- University of British Columbia (CA)
- Simon Fraser University (CA)
- Research Canada (CA)
- Corresponding author
- Feehan, Lynne M.
- Venue
- Physiotherapy Canada
- Published
- 2016-05
- Volume
- 68
- Issue
- 2
- Pages
- 116-123
- ISSN
- 0300-0508 (ISSN-L)
- 1708-8313
- PMC
- PMC5125482
- OpenAlex
- W2235146347
- Cited by
- 20
- References
- 42
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 2 · 2021: 2 · 2020: 3 · 2019: 2 · 2018: 5 · 2017: 3
- FWCI
- 2.68
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Physiotherapy Canada (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
- Keywords
- ActiGraph GT3X+, accelerometer, sedentary behavior, light physical activity, physical activity classification, laboratory observation, healthy adults
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