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

Currently recruiting participants: Yes

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

Method of contact

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