Analysis of Pulmonary Diseases Using Genetic Programming

Abstract

Pulmonary sounds have information about diseases. Sound signal processing can be considered as a helpful tool for
physicians in diagnosis. Since it is necessary to filter environmental sounds and other body sounds, analog filtering is
necessary. The first step in this study is analog filtering. Then, the band including disease information is preserved by digital
filtering. The spectrum obtained by applying fast fourier transform (FFT) is processed using genetic programming method. A
classification is done using different disease information.