运动员有氧训练心肺功能检测研究

发布时间：2018-08-04 17:27

【摘要】：对竞速运动员有氧训练过程中的心肺功能进行准确检测,可以制定科学合理的有氧运动策略。通过有氧训练对竞速运动员心肺功能的影响最优关系函数,建立心肺功能检测模型,传统的关系模型分析方法只能单纯通过采集竞速运动员在有氧训练过程中的心肺功能指标,进行心肺功能分析,不能对有氧训练与竞速运动员心肺功能的影响进行建模,降低了竞速运动员有氧训练中心肺功能检测的准确性。提出一种新的竞速运动员有氧训练心肺功能检测方法,通过统计竞速运动员在不同的有氧训练阶段中心肺耐受时间、耐受负荷、肺部通气量和摄氧量的变化情况,采用粒子算法获取有氧训练对竞速运动员心肺功能的影响最优关系函数,利用上述函数建立有氧训练对竞速运动员心肺功能的影响模型。仿真结果证明,所提方法建模精确度高,可以为竞速运动员制定科学合理的赛前有氧运动策略提供依据。
[Abstract]:The accurate detection of cardiopulmonary function of speed racing athletes during aerobic training can make a scientific and reasonable aerobic exercise strategy. Through the influence of aerobic training on cardiopulmonary function of racing athletes, a cardiopulmonary function test model was established. The traditional relationship model analysis method can only collect cardiopulmonary function indexes of race athletes during aerobic training. The analysis of cardiopulmonary function can not model the influence of cardiopulmonary function on aerobic training and speed racing athletes, and reduce the accuracy of cardiopulmonary function test in aerobic training of speed racing athletes. A new testing method for cardiopulmonary function of speed racing athletes in aerobic training was proposed. The changes of cardiopulmonary tolerance time, tolerance load, lung ventilation volume and oxygen uptake in different aerobic training stages were analyzed. The optimal relationship function of cardiopulmonary function of athletes with aerobic training was obtained by particle algorithm, and the model of cardiopulmonary function of athletes with aerobic training was established by using the above function. The simulation results show that the proposed method has high modeling accuracy and can provide scientific and reasonable basis for athletes to formulate scientific and reasonable aerobic exercise strategy before competition.
【作者单位】：海南大学体育部;
【基金】：海南省教育科学规划课题(QJY1251514) 海南省高等学校科学研究项目(NKY2016-11)
【分类号】：G808.1

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