提出了一种基于心音特征分析的汽车主动安全技术,探讨利用心音信号对驾驶员现场健康状况进行监测的可行性和具体实施方法.首先分析了心音信号与汽车背景噪声的特点,提出了汽车环境中的心音信号模型,据此设计出一种汽车主动安全的汽车心音采集装置,然后给出了一种基于独立子波函数的心音信号分类识别方法.讨论了心音独立子波函数的构成准则,获取心音独立子波函数的算法,以及如何将心音独立子波函数作为一种新的统计特征参数,并且给出了一种心音确定度的新概念.最后通过一个实际的心音采集与分类识别实验,验证了本文方法的有效性和可行性.
It is presented that a novel method for the vehicle initiative safety based on the characteristics analysis of heart sound,as well as the feasibility and implementation of using the heart sound signal to monitor the driver's health condition.The characteristics between heart sound signal and vehicle background noise are firstly analyzed.Then the model of the heart sound in internal vehicle environment is proposed.According to the model,an acquisition device is designed.Subsequently,the heart sound classification and identification method based on independent sub-band function is discussed,especially the rules and algorithms of independent sub-band function construction,and how to make independent sub-band function as a new statistics characteristic parameter.Finally,efficiency and feasibility are verified through the heart sound acquisition,separation and identification experiments.