超电刺激对武士冲刺和基于KAN的EMG性能功能的肌肉间一致性的影响
Lan Li1, Haojie Li2, Qianqian Fan1
1Physical Education Department, Woosuk University, Wanju-gun 55338, Republic of Korea.
Sensors (Basel, Switzerland)
|October 16, 2025
概括
跨电刺激 (tES) 通过改善神经肌肉协调来提高冲刺表现. 一个新的神经网络模型准确地根据这些神经肌肉适应来预测运动表现.
科学领域:
- 神经科学是一个神经科学.
- 运动科学 运动科学 运动科学
- 生物医学工程 生物医学工程
背景情况:
- 精英短跑依赖于精确的神经肌肉协调.
- 优化性能需要了解神经活动和肌肉激活之间的关系.
- 跨电刺激 (tES) 提供了一种非侵入性方法来调节皮层刺激性.
研究的目的:
- 研究tES对精英短跑运动员肌肉间连贯性 (IMC) 的影响.
- 开发一种可解释的神经网络模型,以基于神经肌肉协调来预测冲刺表现.
- 评估运动皮层和前额叶皮层刺激对冲刺力学的影响.
主要方法:
- 30名精英短跑运动员参加了一项随机交叉研究,对三个tES条件进行了随机交叉研究:运动皮质,前额叶皮质和假.
- 在0-100m阶段分析了冲刺表现,并与下肢表面电肌图 (sEMG) 信号一起分析.
- 使用科尔摩戈罗夫-阿诺德网络 (KAN) 来建模IMC,sEMG特征和冲刺表现之间的关系.
主要成果:
- 运动皮层tES显著增加了冲刺速度在30-60m之间的2.2%比假.
- 在关键肌肉对 (例如,大腿直肠-大腿) 中的马带IMC在运动皮层刺激期间升高.
- 使用神经肌肉协调数据,KAN模型证明了冲刺表现的高预测准确性 (R2 = 0.83).
结论:
- 运动皮层的向横直流刺激 (tDCS) 改善了精英运动员的神经肌肉协调和冲刺速度.
- 开发的科尔莫戈罗夫-阿诺德网络 (KAN) 为体育中的绩效建模提供了一个透明和准确的框架.
- 这项研究强调了与先进的计算建模相结合的非侵入性脑刺激的潜力,以提高运动员的表现.
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