Discrimination of normal and abnormal lung sounds using auscultation data

Abstract

In the case of bedridden patients with weak ability to expel sputum by spontaneous breathing or coughing (including the case of using the ventilator due to the former factor), it is necessary to insert the suction catheter into the trachea through nasal/oral or tracheostomy to suction sputum. In the process, the patient should be able to find out the position of sputum accumulation by listening to the diagnosis, and find out the position of sputum accumulation by manipulating the suction catheter. However, because the patient cannot breathe while suctioning phlegm, suctioning phlegm needs to be done in a very short time. In order to support this kind of suctioning phlegm, there is a need for a continuous multi-point lung sound diagnosis system that can judge whether suctioning phlegm is necessary or not and estimate the phlegm reservoir position. In this paper, we propose a method of discriminating normal and abnormal lung sounds using the auscultation data, which is necessary for the system of constant multi-point lung sound auscultation.