Energy Expenditure Estimation During Daily Military Routine With Body-Fixed Sensors

Wyss, Thomas; Mäder, Urs (2011). Energy Expenditure Estimation During Daily Military Routine With Body-Fixed Sensors Military Medicine, 176(5), pp. 494-499. Oxford University Press 10.7205/MILMED-D-10-00376

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The purpose of this study was to develop and validate an algorithm for estimating energy expenditure during the daily military routine on the basis of data collected using body-fixed sensors. First, 8 volunteers completed isolated physical activities according to an established protocol, and the resulting data were used to develop activity-class-specific multiple linear regressions for physical activity energy expenditure on the basis of hip acceleration, heart rate, and body mass as independent variables. Second, the validity of these linear regressions was tested during the daily military routine using indirect calorimetry (n = 12). Volunteers’ mean estimated energy expenditure did not significantly differ from the energy expenditure measured with indirect calorimetry (p = 0.898, 95% confidence interval = −1.97 to 1.75 kJ/min). We conclude that the developed activity-class-specific multiple linear regressions applied to the acceleration and heart rate data allow estimation of energy expenditure in 1-minute intervals during daily military routine, with accuracy equal to indirect calorimetry.

Item Type:

Journal Article (Original Article)

Division/Institute:

Swiss Federal Institute of Sports Magglingen SFISM > EHSM - Leistungssport
Swiss Federal Institute of Sports Magglingen SFISM > EHSM - Lehre und Sportpädagogik > Monitoring

Name:

Wyss, Thomas and
Mäder, Urs

ISSN:

0026-4075 (Print) 1930-613X (Online)

Publisher:

Oxford University Press

Language:

English

Submitter:

Admin import user

Date Deposited:

01 Mar 2021 15:32

Last Modified:

04 Oct 2021 02:18

Publisher DOI:

10.7205/MILMED-D-10-00376

PubMed ID:

21634292

Uncontrolled Keywords:

Adult Algorithms Anthropometry Calorimetry indirect Energy metabolism physiology Humans Male Military personnel Monitoring physiologic instrumentation Statistics nonparametric Switzerland

ARBOR DOI:

10.24451/arbor.11054

URI:

https://arbor.bfh.ch/id/eprint/11054

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