Differential diagnosis tool in healthcare application using respiratory sounds and convolutional neural network

This chapter focuses on the classification of respiratory pathology using breathsound signals. The development of a computerised breath-sound analysis system could improve the standard of living of people affected by respiratory-related disease and further also be used as a differential diagnosis tool in affective computing. Accordingly, in this chapter, respiratory sounds recorded according to the Computerised Respiratory Sound Acquisition standard were obtained from subjects with respiratory sounds belonging to five different respiratory pathologies, namely, normal, wheezes, rhonchi, fine crackles, and coarse crackles.