Clément J, Bobbaers H, Van de Woestijne K P
J Appl Physiol Respir Environ Exerc Physiol. 1984 Nov;57(5):1439-47. doi: 10.1152/jappl.1984.57.5.1439.
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.
对27例阻塞性肺疾病患者的肺顺应性和阻力的频率依赖性进行了研究。顺应性和阻力通过传统的过零(动态顺应性,Cdyn)和等容(阻力,RL)技术测定,或者通过在平滑处理(自相关和互相关函数)后进行的改进傅里叶分析来测定,从而得出有效顺应性和阻力,CL和RL。后一种技术用于根据流量和跨肺压信号中存在的基波、三次谐波和四次谐波计算CL和RL。研究了三种呼吸频率:0.5、1和2 Hz。由基波分量计算得出的Cdyn和CL均随频率逐渐降低。然而,Cdyn的频率依赖性比CL小。在相同呼吸频率下,由谐波计算得出的CL明显小于由基波计算得出的CL。RL以及由基波计算得出的RL倾向于随频率增加。然而,当将由基波得出的RL与从相应高阶谐波获得的RL进行比较时,阻力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能会被在多个频率下进行呼吸的常规程序所掩盖。相反,测量应在单一频率下进行,例如自主呼吸,通过计算呼吸信号中存在的高阶谐波的阻力来实现。