Estimation of Energy Expenditure and Physical Activity Classification with Wearables

Completed

Conditions: algemen fysieke gezonheid
energy expenditure
general fitness

Registration Number: NL-OMON53398

Lead Sponsor: niversiteit Maastricht

Brief Summary: Not available

Detailed Description: Not available

Recruitment & Eligibility

Status: Completed

Sex: Not specified

Target Recruitment: 56

Inclusion Criteria

- Aged between 18 and 64 years
- Provided written informed consent
- Able to be physically active assed with PAR-Q+

Exclusion Criteria

- A contraindication to physical activity
- A contraindication to wearing wearables, fixed by a hypoallergenic
plaster
- Chronic disease
- A pace maker or any chest-implanted device

Study & Design

Study Type: Observational non invasive

Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
<p>The main study parameter is energy expenditure and physical activity. The main<br /><br>endpoint of this study is an energy expenditure estimation and physical<br /><br>activity classification algorithm based on wearable sensors. Energy expenditure<br /><br>will be measured in units of kcal per time. Physical activity will be<br /><br>classified as time spent in sedentary, standing, low physical activity (LPA),<br /><br>moderate physical activity (MPA), vigorous physical activity (VPA).</p><br>

Secondary Outcome Measures

Name	Time	Method
<p>Secondary study parameters are:<br /><br>- Heart rate (variability)<br /><br>- Breathing rate<br /><br>- Average skin temperature<br /><br>- PA intensity<br /><br>- Body composition<br /><br>The secondary endpoints are:<br /><br>- a heart rate (variability) algorithm based on raw ECG signals<br /><br>- explained contribution of different bio-signals to the estimation of EE<br /><br>- an algorithm for the estimation of instantaneous EE</p><br>