Developing a Subject-Specific Model of Knee Joint during cycling on a stationary bike
Summary
We're working on a project to understand how your legs move and the forces they experience while you're pedaling on a stationary bike. By using video cameras, special pedals that measure force, and sensors that detect muscle activity, we aim to figure out how much stress is placed on your knee joints during cycling. This will help us create a personalized model to predict and possibly reduce knee pain or injuries for cyclists.
Eligibility
Eligible ages: 18 to 50
Accepts healthy participants: Yes
Inclusion criteria:
Inclusion Criteria:
Age between 18 to 50 years
Exclusion criteria:
Exclusion Criteria:
- Having a body mass index (BMI) greater than 30 kg/m2;
- Smoking or using tobacco products within the past year;
- Have a known mood, neurological, cardiovascular, metabolic, or any other health condition deemed
likely to confound the study results;
-Taking medications known to affect mood, neurological, cardiovascular, and/or metabolic responses to exercise (e.g., beta-blockers, insulin, etc.);
-Have a lower limb injury within the past six months affecting the ability to perform the exercise.
-Being pregnant
Participate
Fill out the following form if you want to participate in this research
Collection of personal information
Your personal information is collected under
the authority of section 33(c) of the Freedom of Information and Protection of Privacy Act. If
you have any questions about the collection or use of this information, please visit our
Access to Information page.
Additional information
Contact information
You can email or call Dr. Amin Komeili
Principal investigator:
Amin Komeili
Clinical trial:
No
REB-ID:
REB23-1803