基于赛场综合环境的击剑运动员中枢疲劳预测模型

Central Fatigue Prediction Model of Fencing Athletes Based on Synthetic Circumstance

中枢疲劳会严重影响运动员的竞技状态,而环境因素是影响运动员中枢疲劳的重要因素之一。由于中枢疲劳和环境因素对击剑运动员的影响更加突出,因此以中国国家击剑队运动员为研究对象,研究了击剑运动中环境因素与中枢疲劳的相关性,并基于ANN建立了在各种环境因素下运动员中枢疲劳通用预测模型和分组预测模型。实验表明,建立的击剑运动员中枢疲劳通用预测模型具有较好的性能,其预测结果与实际测量值的相关系数为0.68;针对不同运动员组别,建立的击剑运动员中枢疲劳分组预测模型具有更高的预测准确性,其预测结果与实际测量值的相关系数均高于0.70。

Central fatigue affects the training effect of athletes,whereas environmental factor is one of the essential factors which affect the individual central fatigue of athletes. Since the influence of the central fatigue,as well as environmental factor on the elite fencers are especially significant,this paper took the fencers of the Chinese National team as objects,then researched on the correlation between the environmental factors and the central fatigue in fencing. Then based on the artificial neural networks,this paper presents the general models and the group models of individual central fatigue under different environmental factors. The results showed that the general models were established to predict the general situation of the individual central fatigue of Chinese elite fencers in the training field with the best generality for the ANN,and its prediction correlation coefficient between outputs and desired targets is approximately 0. 64. The group models were established to predict the individual central fatigue of Chinese elite fencers in different group condition. It has good generality,with a higher correlation coefficient of over 0. 70 between outputs and desired targets.