ARDS is an acute pulmonary disorder that occurs frequently in mechanically ventilated patients in Intensive Care. Lung sounds were recorded from pigs, in which ARDS status was induced via lung lavage. After preprocessing with an adaptive filter for ECG based heart sound cancellation, the lung sounds were characterized via autoregressive (AR) models. Spectral features were investigated for their discrimination potential for ARDS status.

Additional Metadata
Keywords AR modeling, ARDS, Critical Care, feature selection, lung sounds
Persistent URL dx.doi.org/10.1109/IEMBS.1992.5761576, hdl.handle.net/1765/117315
Conference 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 1992
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Citation
Sankur, B. (B.), Barendregt, W. (W.), Ince, C, & Bruining, H.A. (1992). Analysis of respiratory sounds during induced ARDS in pigs. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (pp. 2537–2538). doi:10.1109/IEMBS.1992.5761576