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Daily physical activity assessment with accelerometers: new insights and validation studies

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TLDR
There was a large variability in accelerometer output and their validity to assess daily physical activity and there is little evidence that adding other physiological measures such as heart rate significantly improves the estimation of energy expenditure.
Abstract
The field of application of accelerometry is diverse and ever expanding. Because by definition all physical activities lead to energy expenditure, the doubly labelled water (DLW) method as gold standard to assess total energy expenditure over longer periods of time is the method of choice to validate accelerometers in their ability to assess daily physical activities. The aim of this paper was to provide a systematic overview of all recent (2007-2011) accelerometer validation studies using DLW as the reference. The PubMed Central database was searched using the following keywords: doubly or double labelled or labeled water in combination with accelerometer, accelerometry, motion sensor, or activity monitor. Limits were set to include articles from 2007 to 2011, as earlier publications were covered in a previous review. In total, 38 articles were identified, of which 25 were selected to contain sufficient new data. Eighteen different accelerometers were validated. There was a large variability in accelerometer output and their validity to assess daily physical activity. Activity type recognition has great potential to improve the assessment of physical activity-related health outcomes. So far, there is little evidence that adding other physiological measures such as heart rate significantly improves the estimation of energy expenditure.

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Journal ArticleDOI

Evolution of accelerometer methods for physical activity research

TL;DR: A collaborative approach towards analytic methods is proposed to facilitate PA research, which requires a shift away from multiple independent calibration studies and makes the case for a distinction between PA represented by accelerometer-based devices and PA assessed by self-report.
Journal ArticleDOI

Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges

TL;DR: This survey discusses clear motivations and advantages of multi-sensor data fusion and particularly focuses on physical activity recognition, aiming at providing a systematic categorization and common comparison framework of the literature, by identifying distinctive properties and parameters affecting data fusion design choices at different levels.
Journal ArticleDOI

Age group comparability of raw accelerometer output from wrist- and hip-worn monitors.

TL;DR: Accelerometer outputs from AG and GA seem comparable when attached to the same body location in adults, whereas inconsistent differences are apparent between the two brands and placements in children, hence limiting the comparability between brands in this age group.
Journal ArticleDOI

Accelerometer-based measures in physical activity surveillance: current practices and issues

TL;DR: It appears that accelerometers still have limitations regarding generalisability, validity, comprehensiveness, simplicity, affordability, adaptability, between-study comparability and sustainability, and the widespread adoption of accelerometers specifically for large-scale PA surveillance systems may be premature.
References
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Journal ArticleDOI

Comparison of two Actigraph models for assessing free-living physical activity in Indian adolescents

TL;DR: Data from the GT1M can be compared with historical data using average counts per minute with a correction factor, and the two models might be comparable for assessing time spent in moderate to vigorous physical activity in children when using the same epoch length.
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A method for measuring mechanical work and work efficiency during human activities

TL;DR: This mechanical work-energy expenditure system will be useful in determining the importance of individual differences in amount and cost of physical activity in the regulation of body weight and in development of obesity.
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Estimation of free-living energy expenditure using a novel activity monitor designed to minimize obtrusiveness.

TL;DR: The TracmorD is a highly accurate instrument for predicting free‐living energy expenditure and the miniaturized design did not harm the ability of the instrument in measuring physical activity and in determining outcome parameters of physical activity such as TEE, AEE, and PAL.
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Comparison of doubly labeled water with respirometry at low- and high-activity levels.

TL;DR: Results demonstrate the utility of the doubly labeled water method for the determination of energy expenditure in the range of activity levels in daily life.
Journal ArticleDOI

Free-living energy expenditure in children using multi-sensor activity monitors☆

TL;DR: The new ActiReg algorithm and InnerView 6.1 improved the activity monitors at group level, but the error was dependent on physical activity level.
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