北京体育大学学报
北京體育大學學報
북경체육대학학보
Journal of Beijing University of Physical Education
2014年
4期
118~123
,共null页
协同动力系统 训练过程 肌电图 自组织
協同動力繫統 訓練過程 肌電圖 自組織
협동동력계통 훈련과정 기전도 자조직
CDST; training process ; EMG ; self-organize
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),孵(控制参数)和EMGMF(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。
目的:基于協同動力繫統理論(DST)主要用于分析與自我組織繫統相關問題的特徵,研究提齣瞭訓練實踐中的DST理論方法,併通過自行車訓練實驗的相關數據評估該理論與方法的應用;實驗方法:根據自行車項目本質特徵,選取某省備戰12運會自行車隊10名運動員接受為期10週的蹬踏運動訓練,為瞭顯示在不同測試中運動員競技能力水平的提高程度,用P30測試訓練期間得齣的變化與最大功率Pmax漸增負荷測試中的變化進行比較,對繫統分析中所用的變量P30(有序參數),孵(控製參數)和EMGMF(子繫統參數),以平均值(SD)來呈現;主要結論:宏觀層麵,競技能力的縯化在確定範圍內錶現為動態髮展穩定結構下的自組織行為,該行為可以被描述為運動狀態與狀態間的過渡;訓練與競技能力縯化之間具有明顯的非線性及時滯性特徵,在運動員競技能力縯化的初期,競技能力與訓練負荷正相關,但在大負荷時期,競技能力的縯化會因為疲勞的纍積而齣現時滯。
목적:기우협동동력계통이론(DST)주요용우분석여자아조직계통상관문제적특정,연구제출료훈련실천중적DST이론방법,병통과자행차훈련실험적상관수거평고해이론여방법적응용;실험방법:근거자행차항목본질특정,선취모성비전12운회자행차대10명운동원접수위기10주적등답운동훈련,위료현시재불동측시중운동원경기능력수평적제고정도,용P30측시훈련기간득출적변화여최대공솔Pmax점증부하측시중적변화진행비교,대계통분석중소용적변량P30(유서삼수),부(공제삼수)화EMGMF(자계통삼수),이평균치(SD)래정현;주요결론:굉관층면,경기능력적연화재학정범위내표현위동태발전은정결구하적자조직행위,해행위가이피묘술위운동상태여상태간적과도;훈련여경기능력연화지간구유명현적비선성급시체성특정,재운동원경기능력연화적초기,경기능력여훈련부하정상관,단재대부하시기,경기능력적연화회인위피로적루적이출현시체。
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.