NDLI: Exercise energy expenditure estimation based on acceleration data using the linear mixed model

Content Provider	IEEE Xplore Digital Library
Author	Haapalainen, Eija Laurinen, Perttu Siirtola, Pekka Roning, Juha Kinnunen, Hannu Jurvelin, Heidi
Copyright Year	2008
Description	Author affiliation: Polar Electro Oy, Finland (Kinnunen, Hannu; Jurvelin, Heidi) \|\| Intelligent Systems Group, P.O. BOX 4500, FI-90014 University of Oulu, Finland (Haapalainen, Eija; Laurinen, Perttu; Siirtola, Pekka; Roning, Juha)
Abstract	This paper introduces a novel algorithm for estimating energy expenditure during physical activity. The estimation is based on acceleration data measured from a wrist-worn accelerometer. Simultaneous measurements of acceleration and oxygen consumption using a biaxial accelerometer and a breath gas analyzer were made during four different activities: walking, running, Nordic walking and bicycling. A variance feature is used to compress the original acceleration signals. A linear mixed model is fitted to the data to estimate oxygen consumption based on the acceleration data. Lagged values of acceleration are used to take the delayed effect of physical activity on oxygen consumption into consideration. The algorithm also uses information on the height of the subjects. Oxygen consumption is estimated at 15-second intervals and energy expenditure is directly calculated from the oxygen consumption. Based on the experimental data gathered from 10 subjects, a new algorithm for estimating energy expenditure is suggested. It is shown that the method estimates energy expenditure very accurately. In walking, running and Nordic walking the model underestimates energy expenditure by 13, 2 and 9 percent, respectively, and in bicycling energy expenditure is overestimated by 7 percent. Thus, the new approach is a very promising method for estimating energy expenditure.
Starting Page	131
Ending Page	136
File Size	293339
Page Count	6
File Format	PDF
ISBN	9781424426591
DOI	10.1109/IRI.2008.4583018
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Acceleration Data models Accelerometers Particle measurements Atmospheric measurements Frequency measurement Energy measurement
Content Type	Text
Resource Type	Article

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