Contributions
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Computerized Lung Sound Screening for Pediatric Auscultation in Noisy Field EnvironmentsWhile widely ubiquitous in clinical practice, stethoscopes are imperfect tools riddled with many shortcomings including inter-listener variability, subjectivity, and vulnerability to noise. In the present work, we explore the use of computer-aided screening of lung sounds un order to automate detection of abnormal breathing patterns indicative of respiratory pathologies. A proposed scheme combines an extended noise-suppression with a multiresolution analysis in order to screen abnormal breathing patterns from auscultation in >1000 children recorded in noisy clinical settings.
