在肺血图中应用自适应滤波法去除呼吸干扰

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 measurement methods can detect cardiac function conveniently with no invasion and can make auxiliary diagnosis of various heart and lung diseases. The traditional method must repuired the patient to hold one's breath intermittently, but it is very difficult in some conditions.This paper presents a new method -- the advanced Least Mean Square LMS, a new interval adaptive filter for removing respiratory noise from lung impedance signals. It can detect the lung impedance signals beat - to - beat continuously with the respiratory interference free. The method has produced a number of encouraging results.