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Analysis of Dynamic Respiratory Mechanics Profits from Breathing-Phase Selective Filtering

Cardio-pulmonary coupling induces cardiogenic oscillations to the respiratory signals, which appear most prominently in the expiration. We hypothesized that the analysis of respiratory system mechanics profits from the breathing phase-selective filtering of expiratory data. Using the gliding-SLICE method, intratidal dynamic respiratory system mechanics were analyzed without and with low-pass filtering (cut-off-frequency f=4 Hz) of expiratory or inspiratory data separately. The quality of data analysis was derived quantitatively from the coefficient of determination (R). 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.