运动训练负荷的多模态监控模式及实践策略

Multimodal Monitoring Models and Practical Strategies for Training Loads

在体育科学与技术领域,对运动训练负荷进行专业化和精确化的监控和施加被公认是高质量训练的重要前提,它对于优化训练过程并实现高质量的训练创新至关重要。采用文献资料调研和比较分析等方法,深入探讨了目前广受认可的外部和内部负荷监控方法的优劣和适用条件,并进一步提出基于项群特征和训练情景的多模态训练负荷监控模式,其实践要点包括多模态综合评估体能状态、个性化训练调整、利用技术工具和数据分析、强调恢复的重要性、持续跟踪和反馈。未来应加速推进以人工智能赋能多模态监控模式的中国实践。

In the field of sports science and technology,the specialized and precise monitoring and implementation of training loads has been recognized as a critical prerequisite for high-qual‐ity training,which is essential to optimize the training process and achieve high-quality training innovation.By means of systematic literature review,comparative analysis and other methods,this study delves into the strengths and weaknesses and the applicable conditions of the currently widely recognized external and internal load monitoring methods,and further introduces a mul‐timodal training load monitoring model based on event-group characteristics and training sce‐narios.The practical applications of this model include a multimodal comprehensive evaluation of physical condition,personalized training adjustments,the use of technological tools and data analysis,an emphasis on the importance of recovery,and consistent tracking and feedback.Fu‐ture efforts should accelerate the Chinese practice of multimodal monitoring models empow‐ered by artificial intelligence.