The application of infrared thermography in exercise physiology and the innovative, automatic analysis of skin's surface radiation temperature based on deep neural networks: InnoSpoMed
- Conditions
- Healthy participants
- Registration Number
- DRKS00029114
- Lead Sponsor
- Johannes Gutenberg-Universität Mainz FB02 Institut für Sportwissenschaft Abteilung Sportmedizin, Prävention und Rehabilitation
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Complete
- Sex
- All
- Target Recruitment
- 35
18 - 70 years of age, healthy, no acute injury, no health issue that could prevent exercise, no extensive scars or tattoos on the relevant skin areas.
Inability to participate in sports, acute injury, extensive scars on relevant areas of the body. The participation of individuals who do not meet the criteria is excluded by informing the test persons in writing in advance and by means of an additional medical history form before the examination. The data will not be collected via the internet. When using temperature measurement by capsule, the following additional criteria: body weight < 40 kg, intestinal disease, increased risk of intestinal disease, motility disorders of the gastrointestinal tract, surgical interventions in the gastrointestinal tract, swallowing disorders (e.g. gag reflex), chronic disease, pacemaker or electromedical implants, pregnancy.
Study & Design
- Study Type
- observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method - Exploratory determination of the change in the distribution of skin's surface thermal radiation during different physical loads.<br>- Exploratory determination of the correlation between the distribution of of skin's surface thermal radiation during different physical loads in relation to established performance physiological parameters.
- Secondary Outcome Measures
Name Time Method