Global Positioning Satellite and Accelerometry to Assess Human Locomotion (ACTI GPS) (ActiGPS)

Assessment of Human Locomotion and Energy Expenditure Using Global Positioning Satellite and Accelerometry

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:

1. GPS and accelerometer together can assess the human locomotion
2. GPS and accelerometer together can assess the energy expenditure during exercises

Study Overview

• Status: Completed
• Conditions: Healthy Volunteers
• Intervention / Treatment: Other: GPS and accelerometer recording (s) during exercises

Detailed Description

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.

• Study Type: Observational
• Enrollment (Actual): 67

Contacts and Locations

Study Locations

• France
  • Angers, France, 49933
    • University Hospital

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 18 years and older (Adult, Older Adult)
• Accepts Healthy Volunteers: Yes
• Genders Eligible for Study: All

• Sampling Method: Probability Sample

Study Population

Healthy subjects

Description

Inclusion Criteria:

• Older than 18
• Informed consent of the participant
• Able to understand the protocol of the study
• Register to the social health insurance
• No exercise limitation

Exclusion Criteria:

• No informed consent of the participant
• pregnant woman

Study Plan

How is the study designed?

Number of groups / cohorts

1

Cohorts and Interventions

Group / Cohort	Intervention / Treatment
healthy subjects	Other: GPS and accelerometer recording (s) during exercises

What is the study measuring?

Primary Outcome Measures

Outcome Measure	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

Secondary Outcome Measures

Outcome Measure	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.	up to 1 week

Other Outcome Measures

Outcome Measure	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.	up to 1 week

Collaborators and Investigators

• Sponsor: University Hospital, Angers
• Collaborators: Institut de Formation en Education Physique et en Sport d'Angers/Les Ponts de Cé; École Normale Supérieure de Cachan

Publications and helpful links

General Publications

• 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.

Study record dates

Study Major Dates

• Study Start (Actual): February 1, 2013
• Primary Completion (Actual): June 8, 2016
• Study Completion (Actual): June 8, 2016

Study Registration Dates

• First Submitted: February 18, 2013
• First Submitted That Met QC Criteria: March 4, 2013
• First Posted (Estimate): March 6, 2013

Study Record Updates

• Last Update Posted (Actual): November 6, 2019
• Last Update Submitted That Met QC Criteria: November 5, 2019
• Last Verified: November 1, 2019

More Information

Terms related to this study

• Other Study ID Numbers: 2012-A01411-42