运动员潜在伤病警告方法研究与仿真

Research and Simulation of Athletes Potential Injury Warning Method

研究运动员潜在伤病准确警告问题。运动员中人体运动机能衰竭周期较长。各个时期的身体机能信号变化不明显,身体机能数据之间缺乏动态的关联性,造成数据之间的联系不紧密,传统的数据分析挖掘方法都是基于数据之间的关联进行深层次的分析,一旦运动员身体机能数据出现了较为明显的断层,关联性被削弱,将造成疾病深度挖掘的不准确。因此,提出了一种关联挖掘技术的运动员潜在伤病警告方法。对运动员身体机能数据进行聚类处理,计算身体机能数据权值系数,从而实现运动员潜在伤病警告。实验结果表明,改进算法提高了运动员潜在伤病警告的准确性。

The problem of accurately warning athletes＇ potential injuries was studied. An athletes＇ potential injuvies warning method was proposed based on association mining technique. The athletes＇ body function data were clustered, and data weights of body functions were calculated, to realize the athlete＇s potential injury warning. The experimental results show that the improved algorithm can improve the warning accuracy of the athletes＇ potential injuries.