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Cited by 134Physical Activity and HealthContext-Aware Activity Recognition SystemsCardiovascular and exercise physiology

Simultaneous heart rate-motion sensor technique to estimate energy expenditure

STRATH, SCOTT J., BASSETT, DAVID R., SWARTZ, ANN M., THOMPSON, DIXIE L.·2001·Medicine & Science in Sports & Exercise
DOI 10.1097/00005768-200112000-00022
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Abstract

PURPOSE: Heart rate (HR) and motion sensors represent promising tools for physical activity (PA) assessment, as each provides an estimate of energy expenditure (EE). Although each has inherent limitations, the simultaneous use of HR and motion sensors may increase the accuracy of EE estimates. The primary purpose of this study was to establish the accuracy of predicting EE from the simultaneous HR-motion sensor technique. In addition, the accuracy of EE estimated by the simultaneous HR-motion sensor technique was compared to that of HR and motion sensors used independently. METHODS: Thirty participants (16 men: age, 33.1 +/- 12.2 yr; BMI, 26.1 +/- 0.7 kg.m(-2); and 14 women: age, 31.9 +/- 13.1 yr; BMI, 27.2 +/- 1.1 kg.m(-2) (mean +/- SD)) performed arm and leg work in the laboratory for the purpose of developing individualized HR-VO2 regression equations. Participants then performed physical tasks in a field setting for 15 min each. CSA accelerometers placed on the arm and leg were to discriminate between upper and lower body movement, and HR was then used to predict EE (METs) from the corresponding arm or leg laboratory regression equation. A hip-mounted CSA accelerometer and Yamax pedometer were also used to predict EE. Predicted values (METs) were compared to measured values (METs), obtained via a portable metabolic measurement system (Cosmed K4b(2)). RESULTS: The Yamax pedometer and the CSA accelerometer on the hip significantly underestimated the energy cost of selected physical activities, whereas HR alone significantly overestimated the energy cost of selected physical activities. The simultaneous HR-motion sensor technique showed the strongest relationship with VO(2) (R(2) = 0.81) and did not significantly over- or underpredict the energy cost (P = 0.341). CONCLUSION: The simultaneous HR-motion sensor technique is a good predictor of EE during selected lifestyle activities, and allows researchers to more accurately quantify free-living PA.

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Crossref · 10.1097/00005768-200112000-00022

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Authors
STRATH, S. J., BASSETT, D. R., SWARTZ, A. M., & THOMPSON, D. L.
Affiliations
University of Tennessee at Knoxville (US)
ORCID
Venue
Medicine & Science in Sports & Exercise
Publisher
Ovid Technologies (Wolters Kluwer Health)
Published
2001-12
Volume
33
Issue
12
Pages
2118-2123
ISSN
0195-9131 (ISSN-L)
DOI
10.1097/00005768-200112000-00022
OpenAlex
W1971799720
Cited by
134
References
27
Citations by year
2025: 5 · 2024: 7 · 2023: 1 · 2022: 2 · 2021: 4 · 2020: 4 · 2019: 10 · 2018: 2 · 2017: 4 · 2016: 5 · 2015: 4 · 2014: 6 · 2013: 7 · 2012: 6
FWCI
2.19
Type
journal article
Language
en
Open access
closed
Locations
  • Medicine & Science in Sports & Exercise (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 › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
Keywords
energy expenditure estimation, heart rate, accelerometer, pedometers, physical activity measurement, free-living physical activity
MeSH terms
Activities of Daily Living, Adult, Energy Metabolism, Exercise Test, Physical Exertion, Female, Heart Rate, Humans, Life Style, Male, Middle Aged, Movement, Predictive Value of Tests, Sensitivity and Specificity, Monitoring, Ambulatory

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