Hanifi Arezoo, Goplen Nicholas, Matin Mohammad, Salters Roger E, Alam Rafeul
Electrical Engineering Department, University of Denver, Denver, CO 80208, USA.
IEEE Trans Biomed Circuits Syst. 2012 Jun;6(3):287-94. doi: 10.1109/TBCAS.2011.2174456.
Assessment of the lung mechanics is crucial in lung function studies. Commonly lung mechanics is achieved through measurement of the input impedance of the lung where the experimental data is ideal for the application of system identification techniques. This study proposes a new approach for investigating the severity of lung conditions and also evaluating the treatment progression. The proposed method is established based on linear parametric identification of lung input impedance in mice and is applied to normal and asthmatic models (including acute, tolerant and chronic asthma) as well as a pharmacological intervention model. Experimental findings confirm the effectiveness of the analysis technique applied here. We discuss the potential application of this method to analyses of human lung mechanics.
肺力学评估在肺功能研究中至关重要。通常，肺力学是通过测量肺的输入阻抗来实现的，而实验数据非常适合应用系统识别技术。本研究提出了一种新方法，用于研究肺部疾病的严重程度并评估治疗进展。所提出的方法基于小鼠肺输入阻抗的线性参数识别建立，并应用于正常和哮喘模型（包括急性、耐受和慢性哮喘）以及药理干预模型。实验结果证实了此处应用的分析技术的有效性。我们讨论了该方法在分析人类肺力学方面的潜在应用。
