NCT01805219

Brief Summary

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

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
67

participants targeted

Target at P25-P50 for all trials

Timeline
Completed

Started Feb 2013

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

February 1, 2013

Completed
17 days until next milestone

First Submitted

Initial submission to the registry

February 18, 2013

Completed
16 days until next milestone

First Posted

Study publicly available on registry

March 6, 2013

Completed
3.3 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 8, 2016

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

June 8, 2016

Completed
Last Updated

November 6, 2019

Status Verified

November 1, 2019

Enrollment Period

3.4 years

First QC Date

February 18, 2013

Last Update Submit

November 5, 2019

Conditions

Outcome Measures

Primary Outcomes (1)

  • 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 Outcomes (1)

  • Defining optimal analysis parameter to accurately detect speed and distance of periods of walking

    up to 1 week

Other Outcomes (1)

  • Determine the accuraccy of GPS and acceleropmetry to estimate energy expediture in healthy volunteers

    up to 1 week

Study Arms (1)

healthy subjects

Other: GPS and accelerometer recording (s) during exercises

Interventions

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

Healthy subjects

You may qualify if:

  • 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

You may not qualify if:

  • No informed consent of the participant
  • pregnant woman

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

University Hospital

Angers, 49933, France

Location

Related Publications (1)

  • 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 Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER GOV
Responsible Party
SPONSOR

Study Record Dates

First Submitted

February 18, 2013

First Posted

March 6, 2013

Study Start

February 1, 2013

Primary Completion

June 8, 2016

Study Completion

June 8, 2016

Last Updated

November 6, 2019

Record last verified: 2019-11

Locations