Activity Monitoring and Energy Expenditure in COPD Patients: A Validation Study
Open accessAbstract
There is increasing interest in the objective measurement of physical activity in chronic obstructive pulmonary disease (COPD) patients due to the close relationship between physical activity level, health, disability and mortality. We aimed to (a) determine the validity and reproducibility of an activity monitor that integrates accelerometry with multiple physiologic sensors in the determination of energy expenditure in COPD subjects and (b) to document the independent contribution of the additional physiologic sensors to accelerometry measures in improving true energy expenditure determination. Eight subjects (4 male, FEV(1) 56.4 +/- 14.1%, RV 145.0 +/- 75.7%) performed 2 separate 6-minute walk and 2 incremental shuttle walk exercise tests. Energy expenditure was calculated during each exercise test using the physiologic activity monitor and compared to a validated exhaled breath metabolic system. Test-retest reproducibility of physiologic activity monitor during the walking tests was comparable to an exhaled breath metabolic system. Physiologic sensor data significantly improved the explained variance in energy expenditure determination (r(2)=0.88) compared to accelerometry data alone (r(2)=0.68). This physiologic activity monitor provides a valid and reproducible estimate of energy expenditure during slow to moderate paced walking in a laboratory setting and represents an objective method to assess activity in COPD subjects.
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Although not accurate at step counting, the multi-sensor system outperformed step counters in estimating energy expenditure at slow walking speeds.
“Although not accurate at step counting, the multi-sensor system outperformed the step counters in estimating energy expenditure at slow walking speeds.”
From A review of wearable sensors and systems with application in rehabilitation (2012) · cites this paper as [117]
Furlanetto et al and Patel et al showed that a multi-sensor system measuring galvanic skin response, heat flow and skin temperature in addition to motion provided accurate estimates of energy expenditure.
“Furlanetto et al [116] and Patel et al. [117] showed that a multi-sensor system, which measured galvanic skin response, heat flow and skin temperature in addition to motion, provided accurate estimates of energy expenditure.”
From A review of wearable sensors and systems with application in rehabilitation (2012) · cites this paper as [117]
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- Authors
- Patel, S. A., Benzo, R. P., Slivka, W. A., & Sciurba, F. C.
- Affiliations
- University of Pittsburgh (US)
- Venue
- COPD: Journal of Chronic Obstructive Pulmonary Disease
- Publisher
- Informa UK Limited
- Published
- 2007-01
- Volume
- 4
- Issue
- 2
- Pages
- 107-112
- ISSN
- 1541-2555 (ISSN-L)
- 1541-2563
- PMC
- PMC3391963
- OpenAlex
- W2090342579
- Cited by
- 144
- References
- 47
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 2 · 2022: 4 · 2021: 1 · 2020: 5 · 2019: 6 · 2018: 7 · 2017: 10 · 2016: 13 · 2015: 8 · 2014: 14 · 2013: 12 · 2012: 23
- FWCI
- 5.47
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- COPD Journal of Chronic Obstructive Pulmonary Disease (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (UL1TR000005)
- National Cancer Institute (K23CA106544)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Chronic Obstructive Pulmonary Disease (COPD) Research
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- chronic obstructive pulmonary disease, energy expenditure, physical activity monitoring, accelerometry, wearable activity trackers, test-retest reproducibility, 6-minute walk test, objective activity measurement
- MeSH terms
- Acceleration, Aged, Energy Metabolism, Exercise Test, Female, Humans, Male, Microcomputers, Microelectrodes, Middle Aged, Reproducibility of Results, Monitoring, Ambulatory, Pulmonary Disease, Chronic Obstructive
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