PRedicting Human Performance – adjustments in the critical power model

Our project aims to improve our understanding of the limits of exercise capacity by using a novel model for critical power, the highest intensity at which a steady state can be achieved in cycling. We will test whether the modified 3-parameter critical power model fits power-duration data better than existing models. This will involve well-trained cyclists performing various tests to determine critical power, work completed above critical power (W’), and maximal sprint power, which will be fitted into the old models as well as the new model. The significance of this project is that a better model will facilitate the use of technology like power meters to benefit athletes and coaches, as well as the exercise physiology research community. Validating the model used by the industry partner is important for them as a for-profit company to ensure credibility of their product.

Faculty Supervisor:

Martin MacInnis

Student:

Partner:

Baron Biosystems Ltd

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Calgary

Program: