CAJ | 학술논문

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。
유우호흡음여호흡기류속도지간존재착비선성관계，인차호흡음유가능성위신적호흡감측방법。해문수선제취료호흡음적진폭포락신호，병증명료포락신호대수여호흡기류속도지간량호적선성상관성，지후통과회귀분석획취불동수시자적선성모형삼수，병이용모형삼수실현료기우포락신호대수적호흡기류속도모의，오차가공제재14.9%이하。인차，사용호흡음대호흡기류속도진행모의병실현기우호흡음적호흡감측시가행적。
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. Final y, 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.