跳至主要内容
临床试验/NCT01805219
NCT01805219已完成不适用

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

University Hospital, Angers1 个研究点 分布在 1 个国家目标入组 67 人开始时间: 2013年2月1日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
发起方
入组人数
67
试验地点
1
主要终点
Defining optimal analysis parameter to accurately detect walking from stopping periods

研究概览

简要总结

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

详细描述

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.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • 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

排除标准

  • No informed consent of the participant
  • pregnant woman

结局指标

主要结局

Defining optimal analysis parameter to accurately detect walking from stopping periods

时间窗: up to 1 week

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

次要结局

  • Defining optimal analysis parameter to accurately detect speed and distance of periods of walking(up to 1 week)

研究者

发起方
University Hospital, Angers
申办方类型
Other Gov
责任方
Sponsor

研究点 (1)

Loading locations...

相似试验