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对剧烈运动中身体易损伤部位进行准确预测,可以有效避免运动员在激烈运动中造成的身体伤害。进行身体易损伤部位预测时,需要建立在剧烈运动时幅度与运动损伤关系精确分析的基础上,而传统方法依据运动中易损伤身体部位变量的模糊性进行提取组建模糊评判预测标准,完成易损部位检测,但无法精确地描述出运动员在剧烈运动时幅度与运动损伤关系,存在预测误差大的问题。提出一种基于多元线性回归的剧烈运动中身体易损伤部位预测建模方法。上述模型先描述运动员在激烈运动时易对机体造成损伤的因素,计算出身体易损伤部分和运动幅度间属性关系,得到剧烈运动中易损伤身体部位样本回归函数,然后组建剧烈运动中易损伤身体部位预测模型,融合于多元回归理论对该模型进行验证,得到模型的置信程度,组建成最优剧烈运动中身体易损伤部位预测模型。仿真结果表明,所提模型可以精确地对剧烈运动中身体易损伤部位进行预测。
Accurately forecasting the vulnerable parts of the body during strenuous exercise can effectively prevent the bodily injury caused by the strenuous exercise of athletes. For the prediction of vulnerable parts of the body, it is necessary to establish an accurate analysis of the relationship between the amplitude and the sports injury during strenuous exercise. However, the traditional method is based on the ambiguity of variables of body parts that are easily damaged in exercise to form a fuzzy evaluation prediction standard and complete the vulnerability However, it is impossible to accurately describe the relationship between the amplitude of athletes and sports injuries in strenuous exercise, and the prediction error is large. This paper presents a method of predicting body vulnerable parts in strenuous exercise based on multiple linear regression. The above model first describes the athletes in the intense exercise easy to cause damage to the body factor to calculate the body part of the injury and the nature of the relationship between the movement range, get strenuous exercise vulnerable body parts sample regression function, and then set up strenuous exercise easy to damage the body Site prediction model, which is integrated with the multiple regression theory to verify the model and obtain the confidence level of the model to form the body vulnerable part prediction model in the optimal strenuous exercise. The simulation results show that the proposed model can accurately predict the vulnerable parts of the body during strenuous exercise.