摘要
目的:基于协同动力系统理论(DST)主要用于分析与自我组织系统相关问题的特征,研究提出了训练实践中的DST理论方法,并通过自行车训练实验的相关数据评估该理论与方法的应用;实验方法:根据自行车项目本质特征,选取某省备战12运会自行车队10名运动员接受为期10周的蹬踏运动训练,为了显示在不同测试中运动员竞技能力水平的提高程度,用P30测试训练期间得出的变化与最大功率Pmax渐增负荷测试中的变化进行比较,对系统分析中所用的变量P30(有序参数),TS(控制参数)和EMG MF(子系统参数),以平均值(SD)来呈现;主要结论:宏观层面,竞技能力的演化在确定范围内表现为动态发展稳定结构下的自组织行为,该行为可以被描述为运动状态与状态间的过渡;训练与竞技能力演化之间具有明显的非线性及时滞性特征,在运动员竞技能力演化的初期,竞技能力与训练负荷正相关,但在大负荷时期,竞技能力的演化会因为疲劳的累积而出现时滞。
Purpose： Based on cooperative dynamic system theory （CDST） analyzing the characteristics of the self- organizing system, this paper proposed training CDST and assessed its application by analyzing cycling training da- ta. Methods： Ten cyclists who were preparing for the 12th National Games were taken as subjects based on cycling characteristics, and they participated in 10 weeks bicycle training in this study. In order to know the improved level of cyclists＇ performance, this paper measured the P30 level during training process and Pmax level during graded exercise test, All data, P30, TS and EMG MF, were reported in mean and standard deviation. Conclusions： In macro level, the evolution of competitive ability is self-organization behavior under dynamic stable structure in certain range, which behavior can be described as a transition state of motion and still state. Evolution of training and competition ability is non-linear and time lag. There is a positive correlation between competition ability and the training load in initial stage of training while the training evolution is delayed because of fatigue accumulation in high training load stage.
出处
《北京体育大学学报》
CSSCI
北大核心
2014年第4期118-123,共6页
Journal of Beijing Sport University
基金
中国博士后基金面上项目资助(2012M521066)
