Measurement of the Non-Specific Threshold Stimulus for the Bronchial Tree by Continuous Monitoring of Respiratory Resistance Using the Oscillation Method

Respiration ◽  
1985 ◽  
Vol 48 (1) ◽  
pp. 1-11 ◽  
Author(s):  
M.K.T. Tjwa ◽  
J.J. Smeets ◽  
L.P.J. Jansen ◽  
F.P.V. Maesen
1979 ◽  
Vol 46 (5) ◽  
pp. 956-965 ◽  
Author(s):  
M. Franetzki ◽  
K. Prestele ◽  
V. Korn

The basic principle of the method described here is derived from a variant of the oscillation method. A reference impedance is connected to the mouth; between these two an oscillating flow is imposed. As a reference impedance we use a flexible tube, which acts as a virtually pure inductance or inertance. Respiration is hardly impeded. The only measured parameter is the alternating pressure in front of the mouth and this is easily picked up by a simple microphone. In contrast to former direct-display methods, the inertia and elasticity of the respiratory gas and the respiratory tract, i.e., airways including lungs and thorax, are also taken into account for the evaluation. The respiratory resistance is studied as a complex parameters, i.e., as an impedance. With the aid of diagrams or via electronic computation circuitry, the direct and continuous display of all impedance components such as its magnitude and phase, resistance, and reactance is possible. They can be read out as a function of time, respiratory flow, or volume.


1985 ◽  
Vol 88 (4) ◽  
pp. 486-491
Author(s):  
TSUKASA IGA ◽  
KINICHI INATOME ◽  
OSAMU SEO ◽  
SATOSHI OGINO

1986 ◽  
Vol 61 (3) ◽  
pp. 873-880 ◽  
Author(s):  
J. H. Bates ◽  
M. Decramer ◽  
W. A. Zin ◽  
A. Harf ◽  
J. Milic-Emili ◽  
...  

Relaxed expirations were obtained from five anesthetized dogs under control conditions and during various rates of intravenous infusion of histamine. All volume vs. time curves obtained from 20 ms to 2 s after the start of expiration were poorly described by a single exponential function but were fitted very well by a biexponential function. The resistance of the respiratory system as a function of frequency from 2 to 26 Hz was also determined by the forced oscillation method in the same dogs. Three two-compartment models of the respiratory system were identified from the exponentials fitted to the relaxed expiration data, and the one that had the most plausible parameter values under control conditions consisted of a homogeneous lung compartment connected to a viscoelastic compartment. Although a two-compartment model is arguably appropriate for describing relaxed expirations in normal dogs, physiological considerations suggest that there should be more than two interacting components with histamine infusion. We cannot identify all these components from our data, however. The equivalent complex impedance of the respiratory system was also calculated from the biexponential curves and showed significant variation in resistance over the frequency range from 0 to 2 Hz and negligible variation above 2 Hz. The calculated resistances at 2 Hz were consistently higher than those obtained by the forced oscillation method, which may be due to the nonlinear behavior of the respiratory system during relaxed expiration. We conclude that the single-breath and forced oscillation methods should be viewed as providing complimentary information about respiratory resistance.


2009 ◽  
Vol 47 (01) ◽  
Author(s):  
N Billecke ◽  
S Tröller ◽  
N Raschzok ◽  
MH Morgül ◽  
NN Kammer ◽  
...  

Metrologiya ◽  
2020 ◽  
pp. 25-42
Author(s):  
Dmitrii V. Khablov

This paper describes a promising method for non-contact vibration diagnostics based on the use of Doppler microwave sensors. In this case, active irradiation of the object with electromagnetic waves and the allocation of phase changes using two-channel quadrature processing of the received reflected signal are used. The modes of further fine analysis of the resulting signal using spectral or wavelet transformations depending on the nature of the active vibration are considered. The advantages of this non-contact and remote vibration analysis method for the study of complex dynamic objects are described. The convenience of the method for machine learning and use in intelligent systems of non-destructive continuous monitoring of the state of these objects by vibration is noted.


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