步态时空参数对跑步经济性的影响机制与协同优化框架Influence Mechanism of Gait Spatiotemporal Parameters on Running Economy and the Collaborative Optimization Framework
徐利亚,温煦
XU Liya,WEN Xu
摘要(Abstract):
跑步经济性(Running Economy, RE)受步态时空参数影响,但不同条件下各因素对RE的作用机制尚不明确。回顾相关研究的发展,揭示步态参数对RE的调控路径。结果表明:前足着地的精英跑者宜降低步幅角并延长触地时间,后足着地者则通过增大步幅角和缩短触地时间优化RE;新手跑者应结合外部反馈工具,逐步优化步频与步幅角,避免盲目模仿精英跑者的跑步技术。同时,跑步时要关注自身无氧阈情况、合理调整步态,避免触地时间不均衡。提出步态参数协同优化框架,强调根据跑者技术水平与生理特征动态调整步态策略。未来应结合机器建模与实时反馈技术,构建个性化训练体系,提升跑者的运动表现并降低运动损伤风险。
Numerous studies have shown that running economy(RE) is influenced by gait spatiotemporal parameters; however, the mechanisms by which these factors affect RE under different conditions remain unclear.This study reviews the development of related research and reveals the regulatory pathways of gait parameters on RE. The results suggest that elite forefoot strikers should reduce stride angle and prolong ground contact time,while elite rearfoot strikers tend to improve RE by increasing stride angle and shortening contact time. Novice runners are advised to use external feedback tools to gradually optimize their stride frequency and angle, avoiding blind imitation of elite techniques. Additionally, runners should consider their anaerobic threshold and adjust their gait to prevent imbalances in contact time. This study is the first to propose a coordinated optimization framework for gait parameters, emphasizing the need to dynamically adjust gait strategies based on individual technical levels and physiological characteristics. In the future, machine modeling and real-time feedback technologies should be employed to develop personalized training systems, thereby enhancing runners' performance and reducing their injury risks.
关键词(KeyWords):
步态时空参数;跑步经济性;优化策略;步幅角
gait spatiotemporal parameter;running economy;optimization strategy;stride angle
基金项目(Foundation):
作者(Author):
徐利亚,温煦
XU Liya,WEN Xu
DOI: 10.16099/j.sus.2025.01.06.0004
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