IEEE transactions on bio-medical engineering, Jan 13, 2015
Chest auscultation constitutes a portable, lowcost tool widely used for respiratory disease detec... more Chest auscultation constitutes a portable, lowcost tool widely used for respiratory disease detection. Though it offers a powerful means of pulmonary examination, it remains riddled with a number of issues that limit its diagnostic capability. Particularly, patient agitation (especially in children), background chatter and other environmental noises often contaminate the auscultation, hence affecting the clarity of the lung sound itself. This work proposes an automated multiband denoising scheme for improving the quality of auscultation signals against heavy background contaminations. The algorithm works on a simple two-microphone setup, dynamically adapts to the background noise and suppresses contaminations while successfully preserving the lung sound content. The proposed scheme is refined to offset maximal noise suppression against maintaining the integrity of the lung signal, particularly its unknown adventitious components that provide the most informative diagnostic value dur...
IEEE transactions on bio-medical engineering, Jan 13, 2015
Chest auscultation constitutes a portable, lowcost tool widely used for respiratory disease detec... more Chest auscultation constitutes a portable, lowcost tool widely used for respiratory disease detection. Though it offers a powerful means of pulmonary examination, it remains riddled with a number of issues that limit its diagnostic capability. Particularly, patient agitation (especially in children), background chatter and other environmental noises often contaminate the auscultation, hence affecting the clarity of the lung sound itself. This work proposes an automated multiband denoising scheme for improving the quality of auscultation signals against heavy background contaminations. The algorithm works on a simple two-microphone setup, dynamically adapts to the background noise and suppresses contaminations while successfully preserving the lung sound content. The proposed scheme is refined to offset maximal noise suppression against maintaining the integrity of the lung signal, particularly its unknown adventitious components that provide the most informative diagnostic value dur...
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Papers by Eric McCollum