I. Introduction
Auscultation of respiratory sounds has been reported as a method that can improve clinical diagnostic [1], [2]. This non-invasive method is easy to apply to patients, independently of their age and severity of disease. Nevertheless, application is limited by subjective perception and quantification in the auscultation procedure. In this way, automatic methods to analyze and quantify respiratory sounds have been proposed [1], [3].