Frequency dependence of pulmonary compliance and resistance in patients with obstructive lung disease.

J Clément, H Bobbaers, K P Van de Woestijne
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引用次数: 2

Abstract

The frequency dependence of pulmonary compliance and resistance was investigated in 27 patients with obstructive lung disease. Compliance and resistance were determined either by the conventional zero crossing (Cdyn) and isovolume (RL) technique or by a modified Fourier analysis following a smoothing procedure (auto- and cross-correlation function) yielding an effective compliance and resistance, CL and RL. The latter technique was used to calculate CL and RL from the fundamental and third and fourth harmonics present in the flow and transpulmonary pressure signals. Three breathing frequencies were investigated: 0.5, 1, and 2 Hz. Both Cdyn and CL, calculated from the fundamental component, decreased progressively with frequency. However, Cdyn showed less frequency dependence than CL. CL calculated from the harmonics was significantly smaller than CL from the fundamental at the same breathing frequency. RL, as well as RL calculated from the fundamental, tended to increase with frequency. A decline of resistance with frequency became apparent, however, when RL from the fundamental was compared with RL obtained from the corresponding higher order harmonics. These results suggest that the frequency dependence of resistance can be masked by the usual procedure of breathing at several frequencies. Instead the measurements should be performed at a single frequency, for instance spontaneous breathing, by computing resistance from the higher order harmonics present in the breathing signals.

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阻塞性肺疾病患者肺顺应性和肺阻力的频率依赖性
对27例阻塞性肺疾病患者肺顺应性和肺阻力的频率依赖性进行了研究。通过传统的过零(Cdyn)和等体积(RL)技术确定顺应性和电阻,或者通过平滑程序(自动和相互关联函数)后的改进傅立叶分析确定有效的顺应性和电阻,CL和RL。后一种技术是用来计算CL和RL从基本和第三和第四次谐波存在的流量和跨肺压力信号。研究了三种呼吸频率:0.5、1和2hz。Cdyn和CL均随频率的增加而逐渐减小。而Cdyn的频率依赖性较CL小。在相同的呼吸频率下,由谐波计算出的CL明显小于由基波计算出的CL。RL,以及从基本计算的RL,随着频率的增加而增加。然而,当将基频的RL与相应的高次谐波的RL进行比较时,电阻随频率的下降变得明显。这些结果表明,阻力的频率依赖性可以通过在几个频率上呼吸的通常程序来掩盖。相反,测量应该在单一频率下进行,例如,通过计算呼吸信号中存在的高阶谐波的阻力来进行自发呼吸。
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