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Fig. 2 | Critical Care

Fig. 2

From: Detection of inspiratory recruitment of atelectasis by automated lung sound analysis as compared to four-dimensional computed tomography in a porcine lung injury model

Fig. 2

Post-processing of recorded acoustic lung sounds. An example of automated lung sound analysis for “dynamic crackle energy” (dCE) and “fast Fourier transform area” (FFT area). The three-dimensional plots show the amplitude-frequency spectrum over time of one inspiratory cycle. The left side displays the raw data recordings; the right side displays the results after filtering. For calculation of FFT area parameter, the sound spectral content above 500 Hz in frequency and above −70 dB in amplitude in proportion to the total amount of sound above −70 dB amplitude was assessed (upper right); for the dCE parameter, the sound energy in the frequency spectrum of 600 to 700 Hz was post-processed (lower right)

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Critical Care

ISSN: 1364-8535