Journal article
Accuracy of a novel multi-sensor board for measuring physical activity and energy expenditure
European journal of applied physiology, Vol.111(9), pp.2025-2032
09/2011
Handle:
https://hdl.handle.net/2376/105763
PMCID: PMC3124601
PMID: 21249383
Abstract
The ability to relate physical activity to health depends on accurate measurement. Yet, none of the available methods are fully satisfactory due to several factors. This study examined the accuracy of a multi-sensor board (MSB) that infers activity types (sitting, standing, walking, stair climbing, and running) and estimates energy expenditure in 57 adults (32 females) 39.2 ± 13.5 years. In the laboratory, subjects walked and ran on a treadmill over a select range of speeds and grades for 3 min each (six stages in random order) while connected to a stationary calorimeter, preceded and followed by brief sitting and standing. On a different day, subjects completed scripted activities in the field connected to a portable calorimeter. The MSB was attached to a strap at the right hip. Subjects repeated one condition (randomly selected) on the third day. Accuracy of inferred activities compared with recorded activities (correctly identified activities/total activities × 100) was 97 and 84% in the laboratory and field, respectively. Absolute accuracy of energy expenditure [100 – absolute value (kilocalories MSB – kilocalories calorimeter/kilocalories calorimeter) × 100] was 89 and 76% in the laboratory and field, the later being different (
P
< 0.05) from the calorimeter. Test–retest reliability for energy expenditure was significant in both settings (
P
< 0.0001;
r
= 0.97). In general, the MSB provides accurate measures of activity type in laboratory and field settings and energy expenditure during treadmill walking and running although the device underestimates energy expenditure in the field.
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Details
- Title
- Accuracy of a novel multi-sensor board for measuring physical activity and energy expenditure
- Creators
- Glen E Duncan - Interdisciplinary Graduate Program in Nutritional Sciences, Department of Epidemiology, University of Washington, Box 353410, Seattle, WA 98195-3410, USAJonathan Lester - Department of Electrical Engineering, University of Washington, Seattle, WA 98195-3410, USASean Migotsky - Interdisciplinary Graduate Program in Nutritional Sciences, Department of Epidemiology, University of Washington, Box 353410, Seattle, WA 98195-3410, USAJorming Goh - Interdisciplinary Graduate Program in Nutritional Sciences, Department of Epidemiology, University of Washington, Box 353410, Seattle, WA 98195-3410, USALisa Higgins - Interdisciplinary Graduate Program in Nutritional Sciences, Department of Epidemiology, University of Washington, Box 353410, Seattle, WA 98195-3410, USAGaetano Borriello - Department of Computer Science and Engineering, University of Washington, Seattle, WA 98195-3410, USA
- Publication Details
- European journal of applied physiology, Vol.111(9), pp.2025-2032
- Academic Unit
- Nutrition and Exercise Physiology, Department of
- Identifiers
- 99900547084101842
- Language
- English
- Resource Type
- Journal article