• H K Shreedhar
• Rohan C
• Sakib Reza
• Siddaraju NC

Heart sounds play an important role in the diagnosis of cardiac conditions, it is problematic and time-consuming for experts to discriminate different kinds of heart sounds. Thus, objective classification of heart sounds is often essential. In this work, datasets of normal subjects and pathological subjects suffering from different kinds of cardiovascular diseases are considered and CNN models are trained by using training sets. The best accuracy obtained for classification is 90.9%.

Classification, CNN, Deep Learning, Heart Sounds

"MULTICLASS CLASSIFICATION OF HEART SOUND USING DEEP LEARNING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.j380-j387, July-2023, Available :http://www.jetir.org/papers/JETIR2307950.pdf

"MULTICLASS CLASSIFICATION OF HEART SOUND USING DEEP LEARNING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppj380-j387, July-2023, Available at : http://www.jetir.org/papers/JETIR2307950.pdf