AI-Enhanced Space Suit - recording pulse wave and heart rate data.
- Conditions
- Healthy test persons who can perform a measurement in the moderate or maximum load range on a bicycle ergometer or treadmill.
- Registration Number
- DRKS00031834
- Lead Sponsor
- Fraunhofer IMS
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Complete
- Sex
- All
- Target Recruitment
- 22
Inclusion Criteria
Healthy people between 18 - 30 years
Exclusion Criteria
Health restrictions that preclude measurement in the moderate or maximum load range on the bicycle ergometer or treadmill or acutely impair gait.
The test persons must meet the requirements for the measuring devices specified by the manufacturers. measuring devices. (e.g. bicycle ergometer: maximum weight 130 kg).
Study & Design
- Study Type
- observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method The primary outcome is the production of a complete data set of at least 10 subjects, who have passed all tests and recorded all sensors. A data set consists of pulse data, heart rate data, exercise data, oxygen saturation and blood pressure data.<br>
- Secondary Outcome Measures
Name Time Method The secondary endpoint is the development of an AI that identifies blood pressure curves from the measured data under stress.