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运动训练负荷的多模态监控模式及实践策略

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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.
Multimodal Monitoring Models and Practical Strategies for Training Loads
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.

internal loadexternal loadtraining loadrating of perceived exertion(RPE)mul-timodal monitoring

陆施熠、胡海旭、金成平、田浩

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南京体育学院,江苏南京 210014

武汉理工大学,湖北武汉 430070

内部负荷 外部负荷 训练负荷 主观强度感知 多模态监控

国家社会科学基金一般项目

20BTY092

2024

中国体育科技
国家体育总局体育信息研究所

中国体育科技

CSTPCDCSSCICHSSCD北大核心
影响因子:1.31
ISSN:1002-9826
年,卷(期):2024.60(1)
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