2019
DOI: 10.1186/s12966-019-0835-0
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Comparison of physical behavior estimates from three different thigh-worn accelerometers brands: a proof-of-concept for the Prospective Physical Activity, Sitting, and Sleep consortium (ProPASS)

Abstract: Background Pooling data from thigh-worn accelerometers across multiple studies has great potential to advance evidence on the health benefits of physical activity. This requires harmonization of information on body postures, physical activity types, volumes and time patterns across different brands of devices. The aim of this study is to compare the physical behavior estimates provided by three different brands of thigh-worn accelerometers. Methods Twenty participants v… Show more

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Cited by 66 publications
(81 citation statements)
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“…82,89 When the study focus is on sedentary behaviour, thigh placement is currently considered the gold standard. 90 In populations with decreased functional capacity, ankle placement is also gaining popularity as it performs well even with slow gait where other placements usually fail. 79,91 In a review by Clark et al, the authors advocated that there is no 'one site fits all' approach to the selection of accelerometer site or analytical technique, and that study design and focus should always inform the most suitable location of attachment, and be driven by the type of activity being characterized.…”
Section: Placementmentioning
confidence: 99%
“…82,89 When the study focus is on sedentary behaviour, thigh placement is currently considered the gold standard. 90 In populations with decreased functional capacity, ankle placement is also gaining popularity as it performs well even with slow gait where other placements usually fail. 79,91 In a review by Clark et al, the authors advocated that there is no 'one site fits all' approach to the selection of accelerometer site or analytical technique, and that study design and focus should always inform the most suitable location of attachment, and be driven by the type of activity being characterized.…”
Section: Placementmentioning
confidence: 99%
“…Simple cut-point approaches applied to either processed activity counts or raw acceleration signal (i.e., Euclidean Norm Minus One -ENMO) provide misleading estimates of movement behaviour because they do not account for upper limb movements during sedentary or stationary light-intensity activities [20,21]. In investigations where sitting time is of primary interest, assessments of posture with thigh mounted accelerometers, alone or in combination with other placements, should be considered [22,23]. The findings of the Steene-Johannessen study highlight the long-standing methodological issue of how to operationalise compliance with physical activity guidelines in accelerometer-based studies [24].…”
Section: Stewart G Trostmentioning
confidence: 99%
“…Authors of these studies set up algorithms that allow, from previous annotated observations of participants performing activities (labeled training data), to determine which type of activity is performed during an analysis of a signal section (see Section 5 for more details on machine learning procedures for activity classification). Some of these studies point towards the study of machine learning systems [ 62 , 63 , 64 ], while others focus on other factors such as sensor implementation [ 65 ]. This is the group of aims that contains the greatest number of studies (28 papers).…”
Section: Aims Of the Studiesmentioning
confidence: 99%
“…Of all studies using more than one sensor, 67% use four or less sensors. [ 27 , 28 , 54 , 61 , 65 , 74 , 86 ]). Moreover, only three studies use more than ten IMUs—these studies use the IGS-180 suit consisting of seventeen IMUs [ 18 , 63 , 70 ].…”
Section: Sensorsmentioning
confidence: 99%