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- Title
Breathing-phase selective filtering of respiratory data improves analysis of dynamic respiratory mechanics.
- Authors
Lozano-Zahonero, Sara; Buehler, Sarah; Schumann, Stefan; Guttmann, Josef
- Abstract
BACKGROUND: The analysis of non-linear respiratory system mechanics under the dynamic conditions of controlled mechanical ventilation is affected by systemic disturbances of the respiratory signals. Cardio-pulmonary coupling induces cardiogenic oscillations to the respiratory signals, which appear prominently in the second half of expiration. OBJECTIVE: We hypothesized that breathing phase-selective filtering of expiratory data improves the analysis of respiratory system mechanics. METHODS: We retrospectively analyzed data from a multicenter-study (28 patients with injured lungs, under volume-controlled ventilation) and from two additional studies (3 lung healthy patients and 3 with injured lungs, under pressure-controlled ventilation). Data streams were recorded at different levels of positive end-expiratory pressure. Using the gliding-SLICE method, intratidal dynamic respiratory mechanics were analyzed with and without low-pass filtering of expiratory or inspiratory data separately. The quality of data analysis was derived from the coefficient of determination (<formula>R^2</formula>).RESULTS: Without filtering, <formula>R^2</formula> lay below 0.995 for 87 of 280 investigated data streams. In 68 cases expiration-selective low-pass filtering improved the quality of analysis to <formula>R^2</formula> &NotGreaterSlantEqual; 0.995. In contrast, inspiration-selective filtering did not improve <formula>R^2</formula>. CONCLUSIONS: The selective filtering of expiration data eliminates negative side-effects of cardiogenic oscillations thus leading to a significant improvement of the analysis of dynamic respiratory system mechanics.
- Subjects
ARTIFICIAL respiration; BIOMECHANICS; LUNG diseases; CRITICAL care medicine; MEDICAL databases; NONLINEAR systems; PATIENTS
- Publication
Technology & Health Care, 2014, Vol 22, Issue 5, p717
- ISSN
0928-7329
- Publication type
Article
- DOI
10.3233/THC-140843