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通过血流限制深蹲运动提高跳跃性能:基于小波包变换的肌肉协同分析

Enhancing Jump Performance Through Blood Flow Restriction Squat Exercise: A Muscle Synergy Analysis Using Wavelet Packet Transformation.

作者信息

Hu Chenxi, Du Ning, Li Yanfeng, Girard Olivier, Mei Tao

机构信息

China Institute of Sport and Health Science, Beijing Sport University, Beijing, China.

Institute of Artificial Intelligence in Sports, Capital University of Physical Education and Sports, Beijing, China.

出版信息

J Sports Sci Med. 2025 Sep 1;24(3):578-588. doi: 10.52082/jssm.2025.578. eCollection 2025 Sep.

Abstract

To explore neuromuscular control during blood flow restriction (BFR) squat exercise using wavelet packet transform (WPT) combined with non-negative matrix factorization (NMF). Fifteen resistance-trained males completed four sets of squats at 40% arterial occlusion pressure. Countermovement jump (CMJ) height and reactive strength index modified (RSImod) alongside surface electromyographic activity from eight lower-limb muscles were assessed before after the exercise. CMJ height and RSImod significantly increased post-exercise (P < 0.001, Cohen's = 0.45 and 0.34, respectively). Four muscle synergy modules were consistently identified, though primary muscle contributions shifted across movement phases. The (TA) was the primary contributor in Synergy1, while the (GL) dominated Synergy 2, accompanied by a significant increase in (GM) weight (P = 0.032). In Synergy 3, the (RF), (VL), and (VM) were predominant, with significant changes in GM and VM muscle weights (P = 0.013, 0.039). Synergy 4 was characterized by contributions from the (ST), (BF), and GM, with a significant increase in VL muscle weight (P = 0.024). WPT-NMF analysis revealed distinct time-frequency synergy modules in CMJ movements before and after BFR squat exercise. Significant changes in activation weights were observed within the 0-250 Hz range (P < 0.05). BFR squat exercise acutely enhances countermovement jump performance by refining muscle synergy and neuromuscular activation patterns, providing novel insights into neuromuscular control strategies.

摘要

为了使用小波包变换(WPT)结合非负矩阵分解(NMF)来探索血流限制(BFR)深蹲运动期间的神经肌肉控制。15名经过阻力训练的男性在40%动脉闭塞压力下完成了四组深蹲。在运动前后评估了反向运动跳跃(CMJ)高度、改良反应力量指数(RSImod)以及来自八块下肢肌肉的表面肌电图活动。运动后CMJ高度和RSImod显著增加(P < 0.001,科恩效应量分别为0.45和0.34)。尽管主要肌肉贡献在不同运动阶段有所变化,但始终识别出四个肌肉协同模块。胫前肌(TA)是协同1中的主要贡献者,而臀大肌(GL)在协同2中占主导地位,同时股中肌(GM)权重显著增加(P = 0.032)。在协同3中,股直肌(RF)、股外侧肌(VL)和股内侧肌(VM)占主导地位,GM和VM肌肉权重有显著变化(P = 0.013,0.039)。协同4的特征是半腱肌(ST)、股二头肌(BF)和GM的贡献,股外侧肌(VL)肌肉权重显著增加(P = 0.024)。WPT-NMF分析揭示了BFR深蹲运动前后CMJ运动中不同的时频协同模块。在0 - 250 Hz范围内观察到激活权重有显著变化(P < 0.05)。BFR深蹲运动通过优化肌肉协同和神经肌肉激活模式,急性增强反向运动跳跃表现,为神经肌肉控制策略提供了新的见解。

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