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| Name | Class |
|---|---|
| École Normale Supérieure de Cachan | OTHER |
| Institut de Formation en Education Physique et en Sport d'Angers/Les Ponts de Cé | UNKNOWN |
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The aim of the study is to validate the association of the GPS and accelerometer tools in order to assess the humain locomotion during exercises.
The hypotheses are:
The assessment of the physical activity (PA) and the energy expenditure (EE) is very important to estimate the morbi-mortality. However, each of these tools has its advantages and disadvantages but none of them provides a measure of all components dimensions that characterize the associated PA and EE. The current scientific prospects for measurement of PA tend to associate several measuring devices. To date, these perspectives are facilitated by technological developments and miniaturization of various devices. Thus, the purpose of the study is to evaluate wether GPS associated with accelerometer are able to assess the humain locomotion and energy expenditure during exercises.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| healthy subjects |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| GPS and accelerometer recording (s) during exercises | Other |
|
| Measure | Description | Time Frame |
|---|---|---|
| Defining optimal analysis parameter to accurately detect walking from stopping periods | Predefined walking protocols will be recorded and the subjects asked to follow recorded procedures. Detection performance of walking and resting bouts (expressed by the percentage accuracy in the detection of walking and resting bouts actually performed) for: i) GPS alone; ii) Accelerometer alone; iii) both GPS and accelerometer | up to 1 week |
| Measure | Description | Time Frame |
|---|---|---|
| Defining optimal analysis parameter to accurately detect speed and distance of periods of walking | Predefined walking protocols will be recorded and the subjects asked to follow recorded procedures at a defined walking pace. Accuracy of speed and distance estimations (expressed by the typical error of estimate and the coefficient of variation) from: i) GPS alone; ii) Accelerometer alone; iii) both GPS and accelerometer. |
| Measure | Description | Time Frame |
|---|---|---|
| Determine the accuraccy of GPS and acceleropmetry to estimate energy expediture in healthy volunteers | Recording of VO2 real time with a portable analyser in parallel to GPS and accelerometry. Prediction (determined by the coefficient of determination from linear regression) of energy expenditure during level and grade outdoor walking and running from: i) GPS alone; ii) Accelerometer alone; iii) both GPS and accelerometer. |
Inclusion Criteria:
Exclusion Criteria:
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Healthy subjects
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University Hospital | Angers | 49933 | France |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 27402559 | Derived | de Mullenheim PY, Dumond R, Gernigon M, Mahe G, Lavenu A, Bickert S, Prioux J, Noury-Desvaux B, Le Faucheur A. Predicting metabolic rate during level and uphill outdoor walking using a low-cost GPS receiver. J Appl Physiol (1985). 2016 Aug 1;121(2):577-88. doi: 10.1152/japplphysiol.00224.2016. Epub 2016 Jul 8. |
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| up to 1 week |
| up to 1 week |