Hybrid Algorithm To Classify The Lung Abnormalities Using The Stethoscope Recordings

The pandemic of 2020 brought a lot changes to the health and medical industry where smart devices started flowing in compensate lack hospitals for less severe cases. This work primarily focuses on lung abnormalities as lungs were one first organs break down when virus affected body. whilst not becoming but will act catalyst spread virus’s effect through thus concluding complete pulmonary breakdown or irreversible damage. hybridisation Fast Independent Component Analysis (FAST-ICA) algorithm coupled with Mel-frequency cepstral coefficients (MFCC) independent component analysis is fed input classification Keras library which sequential algorithm. pre-processing data FAST-ICA mainly based three components sound are frequency, amplitude wavelength.