1994
DOI: 10.1183/09031936.94.07122241
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Fourier analysis versus multiple linear regression to analyse pressure-flow data during artificial ventilation

Abstract: F Fo ou ur ri ie er r a an na al ly ys si is s v ve er rs su us s m mu ul lt ti ip pl le e l li in ne ea ar r r re eg gr re es ss si io on n t to o a an na al ly ys se e p pr re es ss su ur re e--f fl lo ow w d da at ta a d du ur ri in ng g a ar rt ti if fi ic ci ia al l v ve en nt ti il la at ti io on n R. Peslin, C. Gallina, C. Saunier, C. Duvivier The 5% flow offset did not modify the results of Fourier analysis, but increased Rrs and Ers from linear regression by 15.8±4.6% and 4.55±0.64%, respectively. Wit… Show more

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Cited by 12 publications
(7 citation statements)
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“…If the flow has an offset, then the calculation of compliance and resistance with the regression method may be imperfect (12). Furthermore, this flow offset can…”
Section: Discussionmentioning
confidence: 99%
“…If the flow has an offset, then the calculation of compliance and resistance with the regression method may be imperfect (12). Furthermore, this flow offset can…”
Section: Discussionmentioning
confidence: 99%
“…An important advantage of LRA is the synchronous evaluation of its reliability according to the standard error of estimation, corresponding to the Root Mean Square Difference. In most cases of MV the RMSD has been proved satisfactory, according to previous studies [37,48] Therefore, the use of LRA may disregard important dependences of respiratory mechanics on volume and flow. These non-linearities have been recognized in previous studies.…”
Section: Discussionmentioning
confidence: 73%
“…The method is well established during various modes of mechanical ventilation, permitting the calculation of EEP, which corresponds to the sum of any externally applied plus any intrinsically developed positive end-expiratory pressure (PEEP e + PEEP i ) [17-21]. The evaluation of X rs , Z rs and φ rs was based on the elastance and resistance estimated by MLRA.…”
Section: Discussionmentioning
confidence: 99%