Heart abnormality classification using ECG and PCG recordings with novel PJM-DJRNN

Heart abnormality classification using ECG and PCG recordings with novel PJM-DJRNN

Heart Disease (HD) is a leading cause of mortality worldwide. HD causes more number of deaths per year. Hence, the early detection of HD is needed to increase the survival rate. Many existing research works are presented for the detection of HD. However, existing approaches for HD diagnosis suffered...

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Bibliographic Details
Main Authors: Nadikatla Chandrasekhar, Sujatha Canavoy Narahari, Sreedhar Kollem, Samineni Peddakrishna, Archana Penchala, Babji Prasad Chapa
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Results in Engineering
Subjects:
Heart disease
Deep learning
Rule generation
ECG
PCG
Jordan recurrent neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025001203
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