Impact of Neural network-quantified musical groove on cyclists’ joint coordination and muscle synergy: a repeated measures study

High-groove music promotes more coordinated movement patterns during cycling through two key mechanisms: (1) optimized joint coordination, particularly in proximal-distal (hip-ankle) and axial (pelvis-torso) linkages, and (2) reorganization of neuromuscular control strategies evidenced by increased synergy complexity and selective activation of postural stabilizers (SOL). These findings provide biomechanical evidence supporting groove-based auditory-motor interventions, though direct performance benefits require verification through additional kinetic and metabolic measures. The successful application of deep learning for groove quantification establishes a framework for personalized music selection in sports and rehabilitation contexts.