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肺阻抗图是近年发展起来的一种无创伤性检查肺循环疾病的新方法，它在肺循环监护，左、右心功能的客观评价，航天等特因条件的生理病理研究方面都有很好的应用前景。但由于肺阻抗中呼吸干扰的存在，大大限制了其临床应用范围。本文提出用自适应滤波技术去除肺阻抗中呼吸干扰的新方法。在被试者平静呼吸的情况下，逐拍去除呼吸干扰，提取肺阻抗信号。由于本文采用了改进的最小均方算法（LeastMeanSquare，LMS），大大提高了滤波器的收敛速度，使实时去除呼吸干扰成为可能，扩大了肺阻抗的应用范围，并取得较好的结果。
The lung impedance map is a new method for the non-invasive examination of pulmonary circulatory diseases developed in recent years. It has good applications in pulmonary circulation monitoring, objective evaluation of left and right heart functions, and physical and pathological studies of aerospace and other special conditions. prospect. However, due to the presence of respiratory disturbances in the lung impedance, its clinical application is greatly limited. This paper proposes a new method to remove respiratory interference in pulmonary impedance using adaptive filtering. In the case of quiet breathing of the subject, the respiratory disturbance was removed one by one and the lung impedance signal was extracted. Because the improved Least Mean Square (LMS) algorithm is used in this paper, the convergence speed of the filter is greatly improved, and it is possible to remove the respiratory disturbance in real time, thereby expanding the application range of lung impedance and achieving better results.