基于脉搏波数学模型的运动员运动状态判别方法

A Judgment Method of Athlete's Movement State Based on Pulse Wave Mathematical Model

针对利用运动员脉搏波信息对其运动状态(高强度运动、平静)进行判别,并减少身体状态的随机性对脉搏波特征信息的影响问题,提出了一种对原始脉搏波信号进行建模进而提取特征信息进行状态判别的方法.利用训练-测试的二分类分析方式,对运动员的心率状态进行判别,以分析运动员的运动状态,辅助其进行运动训练工作.实验通过对10名运动员志愿者在不同状态下进行脉搏波采集,对预处理后的原始信号进行函数建模并提取生理信息,利用SVM进行监督训练和测试.结果表明,该方法能够对运动员心率状态进行有效判别,得到运动员的运动状态.

Aiming at the problem that the athlete′s pulse wave information is used to determine the motion state(high intensity motion or calm)and reduce the randomness of the body condition to the pulse wave characteristic information,a method to construct the original pulse wave signal was presented.The method of training-test was used to classify the athletes′heart rate to analyze the athletic state of the athletes and assist them in carrying out sports training work.Through the training of 10 athlete volunteers in different states,the original signal of the pretreatment was modeled and the physiological information was extracted.The SVM was used to supervise the training and test.The results show that the method can effectively discriminate the athlete′s heart rate state and get the state of motion.