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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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Citations
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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.
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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

Comparative validity of physical activity measures in older adults.

TL;DR: Objective devices more appropriately rank PAEE than self-reported instruments in older adults, but absolute estimates of PAEE are not accurate.
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Improving assessment of daily energy expenditure by identifying types of physical activity with a single accelerometer

TL;DR: Identification of activity types combined with MET intensity values improves the assessment of energy expenditure compared with activity counts, and future studies could develop models to objectively assess activity type and intensity to further increase accuracy of the energy expenditure estimation.
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Increased television viewing is associated with elevated body fatness but not with lower total energy expenditure in children

TL;DR: Preschool children who watch more TV are fatter and are less active, and activity influences TEE, but despite TV viewing being linked to lower physical activity, the relation between TV viewing and fatness is not mediated by physical activity.
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Measuring free-living energy expenditure and physical activity with triaxial accelerometry

TL;DR: The correlations between Tracmor output and EE measures are the highest reported so far and to measure daily life activities, the use of triaxial accelerometry seems beneficial to uniaxial.
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Accuracy and validity of a combined heart rate and motion sensor for the measurement of free-living physical activity energy expenditure in adults in Cameroon

TL;DR: Together HR and movement sensing is a valid method for estimating physical activity energy expenditure (PAEE) in free-living adults in rural and urban Cameroon compared with doubly-labelled water (DLW) as criterion.
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