ORIGINAL RESEARCH article
Front. Physiol.
Sec. Exercise Physiology
Volume 16 - 2025 | doi: 10.3389/fphys.2025.1690694
This article is part of the Research TopicEmerging technologies in sports performance: data acquisition and analysisView all 11 articles
Lower‑Limb Surface Electromyographic Differences in Roundhouse Kicks between Elite and Sub‑Elite Taekwondo Athletes: A Functional Principal Component Analysis
Provisionally accepted- 1Hospital Universiti Sains Malaysia, Health Campus, Universiti Sains Malaysia, Kota Bharu, Malaysia
- 2Qufu Normal University, Qufu, China
- 3Ludong University, Yantai, China
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Purpose: This study aimed to investigate the functional characteristics and distinctions in lower-limb electromyography (EMG) time-series data during roundhouse kicks performed by elite (n = 10) and sub-elite (n = 10) Taekwondo athletes, using Functional Principal Component Analysis (FPCA) to extract key parameters and identify critical phases of movement. Methods: EMG signals from 16 lower-limb muscles were collected via a Noraxon system synchronized with Vicon 3D motion capture. Group differences in integrated EMG (iEMG) were assessed using ANOVA, and muscles showing significant differences were further analyzed with FPCA (smoothing parameter e⁻⁷; eigenvalues > 1; cumulative variance > 85%). Results: Elite athletes demonstrated significantly higher iEMG values in specific muscles of both the supporting and kicking legs (p < 0.05). FPCA revealed higher scores for selected muscle components in the supporting and kicking legs among elite athletes (p < 0.05, ES = 0.64, R² = 92.6%; p < 0.05, ES = 0.66, R² = 88.8%; p < 0.01, ES = 0.53, R² = 94.8%). Notably, PC5 of the biceps femoris in the kicking leg was prominent during the kicking phase, while PC 4 of the gluteus maximus and biceps femoris in the supporting leg was critical during the recovery and end phases. Conclusion: These findings highlight muscle-specific contributions that differentiate kick quality between top-level and average athletes. FPCA offers a novel framework to assess movement quality, providing insights for technique improvement and supporting the development of automated performance evaluation systems in combat sports.
Keywords: Integrated EMG, surface electromyography, Functional principal component analysis, Taekwondo, Athletes
Received: 22 Aug 2025; Accepted: 06 Oct 2025.
Copyright: © 2025 Sun, Wang, Sun and Dong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Jianbo Sun, sunjianbo@student.usm.my
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