Real-time mechanical responses to overload and fatigue using a flywheel training device

Area of Science:

• Biomechanics
• Exercise Physiology
• Sports Science

Background:

• Flywheel training offers unique resistance profiles.
• Understanding mechanical losses and fatigue is crucial for optimizing training.
• Real-time feedback can enhance training effectiveness.

Purpose of the Study:

• To analyze mechanical performance and losses during unilateral leg extensions with flywheel loading.
• To investigate the effects of different loads and set structures on mechanical variables.
• To identify sensitive metrics for real-time fatigue monitoring.

Main Methods:

• Cross-over design with 23 physically active participants.
• Unilateral leg extensions performed with two different flywheel loads (3 sets of 30 repetitions).
• Monitoring of angular speed, acceleration, and power; analysis of intra-set fatigue clusters and principal components.

Main Results:

• Peak acceleration demonstrated a significant interaction between set and load.
• All variables showed significant decrements within sets, with power decreasing most.
• Angular acceleration proved most sensitive to fatigue across sets and loads.

Conclusions:

• Angular acceleration is the most sensitive variable for real-time fatigue detection in flywheel leg extensions.
• Peak acceleration can be utilized for real-time monitoring of training workload and volume.
• Flywheel training analysis provides insights into fatigue progression during resistance exercise.