Spectrum analysis was done through Artificial Noise Addition (ANA) in conjunction with different deep convolutional neural networks (CNN) to classify the seven abnormal respiratory sounds-both continuous (CAS) and discontinuous (DAS). In this research, we have applied Fourier analysis for the visual inspection of abnormal respiratory sounds. Lung disease is the third most ordinary cause of death worldwide, so it is essential to classify the RS abnormality accurately to overcome the death rate. A couple of decades back, doctors depended on their hearing to distinguish symptomatic signs in lung audios by utilizing the typical stethoscope, which is usually considered a cheap and secure method for examining the patients. Respiratory sound (RS) attributes and their analyses structure a fundamental piece of pneumonic pathology, and it gives symptomatic data regarding a patient's lung.

5Department of Computer and Network Engineering, College of Information Technology, UAE University, Al Ain, United Arab Emirates.

4Cloud Computing and Applications Reseach Lab, Staffordshire University, Stoke-on-Trent, United Kingdom.3Centre for Smart Systems, AI and Cybersecurity, Staffordshire University, Stoke-on-Trent, United Kingdom.2Department of Information Technology, College of Computing and Information Technology at Khulais, University of Jeddah, Jeddah, Saudi Arabia.1Faculty of Computing and Information Technology, University of Gujrat, Gujrat, Pakistan.

Rizwana Zulfiqar 1 Fiaz Majeed 1 Rizwana Irfan 2 Hafiz Tayyab Rauf 3 Elhadj Benkhelifa 4 Abdelkader Nasreddine Belkacem 5 *

Adventitious lung sounds