The purpose of the present study is to improve the estimation of daily energy expenditure and cardiorespiratory fitness, using combined accelerometer and heart rate data under daily life conditions, without the need of a laboratory bound protocol.
ID
Source
Brief title
Condition
- Other condition
Synonym
Health condition
niet klinisch onderzoek met gezonde proefpersonen naar lichamelijke activiteit
Research involving
Sponsors and support
Intervention
Outcome measures
Primary outcome
Energy expenditure as a measure of physical activity (type, intensity) as
measured by accelerometer and heart rate based pattern recognition algorithms
previously developed.
Energy expenditure as assessed by a standardized laboratory bound activity
protocol.
VO2max a measure of CRF as assessed by an incremental test on a bicycle
ergometer.
VO2max as a measure of CRF as estimated by a model combining heart rate levels
during various activities of daily living determined by the activity
recognition algorithm.
Secondary outcome
Maximal heart rate (HRmax)
Resting HR
Body composition (fat percentage and % fat-free mass)
Background summary
Accurate monitoring of physical activity patterns (type, intensity, frequency
and duration) is key in unveiling the relation between aspects of human
behavior and health status. To determine the links between aspects of behavior
related to physical activity and health status, accurate quantification and
assessment of habitual physical activity in ambulatory settings is essential.
Combined with activity-specific algorithms, information on cardioresporatory
fitness could provide more accurate energy expenditure estimation as well as
move wearable technology towards aspects not only related to quantify human
behavior (e.g. activity type and intensity) but actual health status, in terms
of cardiorespiratory fitness.Aim of this study is to develop a procedure that,
based on activities carried out during daily life (rest, walking at different
speeds), can automatically estimate cardiorespiratory fitness-related variance
and properly normalize heart rate, increasing energy expenditure estimation
accuracy. This approach would not require users to do specific fitness tests to
estimate cardiorespiratory fitness, since it is based on activities of daily
living automatically recognized by the wearable monitor.
Study objective
The purpose of the present study is to improve the estimation of daily energy
expenditure and cardiorespiratory fitness, using combined accelerometer and
heart rate data under daily life conditions, without the need of a laboratory
bound protocol.
Study design
Observational study, methodological study
Study burden and risks
Risks for the participants are minimal since no invasive procedures are
included. The exercise protocol can be easily performed by healthy subjects. To
make sure subjects are allowed to perform a maximal exertion test, potential
participants will be screened using a medical screening questionnaire (see
appendix F1). The maximal exertion test will be conducted by an experienced
operator and a direct line with the hospital is always available.
High tech campus 31
Eindhoven 5656AE
NL
High tech campus 31
Eindhoven 5656AE
NL
Listed location countries
Age
Inclusion criteria
Healthy (according to medical screening questionnaire)
Men and women
Aged between 18-45 years
Body mass index between 17.5-30 kg/m2
Informed consent by the participants
Exclusion criteria
- Age below 18 or above 45 years
- Body mass index below 17.5 kg/m2 or above 30 kg/m2
- Smokers
- The presence of chronic disease, such as chronic obstructive pulmonary disease, diabetes, cardiovascular disease or any condition known to affect normal cardiovascular functioning.
- Any musculoskeletal condition that would prevent the subject from performing the exercise protocol.
Design
Recruitment
Followed up by the following (possibly more current) registration
No registrations found.
Other (possibly less up-to-date) registrations in this register
No registrations found.
In other registers
| Register | ID |
|---|---|
| CCMO | NL48026.068.14 |