A dynamic fuzzy model for processing lung sounds

Abstract

A dynamic fuzzy filter is proposed that performs the task of separation of lung sounds obtained from patients with pulmonary pathology. The consequent parts of the fuzzy rules are dynamic, consisting of block-diagonal recurrent neural networks. The lung sound category of coarse crackles is examined, and a comparative analysis with other fuzzy and neural filters is conducted.