基于呼吸音的呼吸监测方法初探

Primary Study of Respiratory Monitoring Based on Breath Sounds

由于呼吸音与呼吸气流速度之间存在着非线性关系,因此呼吸音有可能成为新的呼吸监测方法。该文首先提取了呼吸音的振幅包络信号,并证明了包络信号对数与呼吸气流速度之间良好的线性相关性,之后通过回归分析获取不同受试者的线性模型参数,并利用模型参数实现了基于包络信号对数的呼吸气流速度模拟,误差可控制在14.9%以下。因此,使用呼吸音对呼吸气流速度进行模拟并实现基于呼吸音的呼吸监测是可行的。

It is nonlinear relationship between breath sounds and respiratory flow rate, thus breath sounds might be a new solution for respiratory monitoring. The envelope of the breath sounds was created firstly. And the linear relationship between the logarithm of envelope and the respiratory flow rate was proved. Then model parameters were derived from every subject using regression analysis. Finally, using these parameters estimated respiratory flow rate was achieved by the logarithm of envelope with 14.9% error. Therefore, respiratory flow rate estimation and respiration monitoring based on breath sounds are feasible.