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The Relationship between Pedal Force and Crank Angular Velocity in Sprint Cycling
Maarten Frank Bobbert1, L J Richard Casius, Arthur J Van Soest
1MOVE Research Institute Amsterdam, Faculty of Human Movement Sciences, VU University Amsterdam, Amsterdam, THE NETHERLANDS.
Sprint cycling pedal force is linear with velocity, unlike muscle properties, due to activation dynamics. This means muscle activation timing, not just intrinsic muscle force-velocity, dictates sprint cycling performance.
Area of Science:
- Biomechanics
- Human Physiology
- Sports Science
Background:
- The force-velocity relationship describes how muscle force production is influenced by contraction speed.
- In cycling, pedal force and crank angular velocity typically show a linear relationship, deviating from the hyperbolic intrinsic muscle force-velocity curve.
Purpose of the Study:
- To investigate why the relationship between tangential pedal force and crank angular velocity in sprint cycling is linear, rather than hyperbolic.
- To elucidate the underlying mechanisms causing this deviation from intrinsic muscle force-velocity properties.
Main Methods:
- Simulated isokinetic sprint cycling using a forward dynamic model of the human musculoskeletal system.
- Lower extremity muscles were modeled, and stimulation was optimized to maximize average power output across a range of crank angular velocities (30–150 rpm).
Main Results:
- Peak tangential pedal force decreased more with increasing crank angular velocity than predicted by intrinsic muscle properties alone.
- This linearizing effect was attributed to active state dynamics, specifically the timing of muscle activation and deactivation.
- Optimizing power output requires muscles to transition from high to low active states, necessitating early deactivation initiation as velocity increases.
Conclusions:
- The observed linear relationship between pedal force and crank angular velocity in sprint cycling is influenced by both intrinsic muscle force-velocity characteristics and activation dynamics.
- Understanding these activation dynamics is crucial for accurately modeling and predicting sprint cycling performance.
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