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Quantifying Lower-Limb Muscle Coordination During Cycling Using Electromyography-Informed Muscle Synergies.

Reza Ahmadi1, Shahram Rasoulian2, Hamidreza Heidary1

  • 1Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, AB, T2N 1N4, Canada.

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Summary
This summary is machine-generated.

Muscle coordination in cycling changes with power output, revealing how the nervous system adapts. Synergy indices offer insights for rehabilitation and performance optimization.

Keywords:
BiomechanicsEMGMotor controlNeuromuscular coordinationStationary cycle ergometer

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Area of Science:

  • Biomechanics
  • Motor Control
  • Neuroscience

Background:

  • Muscle coordination is crucial for efficient movement.
  • Understanding neuromuscular strategies in cycling informs performance and rehabilitation.

Purpose of the Study:

  • To evaluate lower-limb muscle synergy patterns during cycling at different power levels.
  • To use muscle synergies as indicators of neuromuscular coordination and motor control.

Main Methods:

  • Twenty cyclists underwent graded cycling tests.
  • Electromyography (EMG) data from seven lower-limb muscles were analyzed.
  • Non-negative matrix factorization was used to extract muscle synergies; Synergy Index (SI) and Synergy Coordination Index (SCI) were calculated.

Main Results:

  • Four muscle synergies were consistent across power levels.
  • SI at the hip remained stable, but decreased at the knee and increased at the ankle with higher power.
  • SCI increased significantly with increasing cycling power levels.

Conclusions:

  • The central nervous system modulates muscle synergies in response to increased mechanical demands.
  • Synergy indices provide a valuable method for assessing motor control in cycling.
  • Findings can inform rehabilitation strategies and performance optimization for cyclists.