肺音信号的非线性检测与肺胸系统声传递特征研究  

A study on the nonlinear detection of lung sounds and the sound transfer function of lung-thorax system

作　　者：赵守国[1] 万明习[1] 王素品[1] 邹原[1] 

机构地区：[1]西安交通大学生物医学工程系,西安710049

出　　处：《声学学报》2002年第1期38-44,共7页Acta Acustica

基　　金：国家自然科学基金资助项目(No.69871023和 No.69925101)

摘　　要：利用高阶累积量从肺音信号中提取肺胸系统声传递函数。肺音信号存在着多种干扰噪声，其综合可视为高斯噪声，用高阶累积量对非高斯ＡＲ模型的高斯噪声抑制能力进行了仿真研究。在肺胸系统正常和机能异常情况下对肺泡呼吸音、哮鸣音、喘鸣音和破裂音进行了分析。实验结果表明高阶累积量能够很好地提取由于肺部机能异常引起的肺胸系统声传递函数的变化。the higher-order cumulants was used to estimate the sound transfer function of lung-thorax system from lung sounds. There are many kinds of noises that are thinking of Gauss noise in lung sounds. Simulations verify the restraining Gaussian noise performances of non-Gaussian AR model with higher-order cumulants. Vesicular breath sounds, wheezes, stridors and crackles in the normal lung-thorax system mechanism and abnormal lung-thorax system mechanism were analyzed. Experimental results show that higher-order cumulants can reflect the variation of the sounds transfer function derived by abnormal lung-thorax system mechanism.

关 键 词：肺音信号 非线性检测 肺胸系统 声传递函数 信号处理 

分 类 号：R312[医药卫生—基础医学]