Effects of Transcranial Electrical Stimulation on Intermuscular Coherence in WuShu Sprint and KAN-Based EMG–Performance Function Fitting

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OBJECTIVE: The aim of this study was to examine how transcranial electrical stimulation (tES) modulates intermuscular coherence (IMC) in sprinters and develop an interpretable neural network model for performance prediction. METHODS: Thirty elite sprinters completed a randomized crossover trial involving three tES conditions: motor cortex stimulation (C1/C2), prefrontal stimulation (F3), and sham. Sprint performance metrics (0-100 m phase analysis) and lower-limb sEMG signals were collected. A Kolmogorov-Arnold Network (KAN) was trained to decode neuromuscular coordination-sprint performance relationships using IMC and time-frequency sEMG features. RESULTS: = 0.83) through cross-validation, with derived symbolic equations mapping neuromuscular features to performance. CONCLUSIONS: Targeted tDCS enhances neuromuscular coordination and sprint velocity, while KAN provides a transparent framework for performance modeling in elite sports.

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