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Building a Mobile Platform For CNN Based Heart Murmur Identification

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posted on 2023-07-24, 21:33 authored by Pragun SharmaPragun Sharma

In this paper I introduce "monoBeat," which is a platform that utilizes machine learning to identify heart murmurs in heart sound recordings. This platform provides a cost accessible solution, for detecting diseases at an early stage especially in regions with limited resources. I conducted a comparison between two models; Convolutional Neural Network (CNN) and Long short term memory neural network (LSTM). I used Mel coefficients (MFCCs) and Mel Spectrograms as input features. The results indicate that the CNN model, combined with MFCCs achieved the accuracy; It is the choice for integration into the monoBeat platform. The paper emphasizes how monoBeat has the potential to enhance healthcare accessibility and minimize delayed detection of heart conditions.


Email Address of Submitting Author

Submitting Author's Institution

The Shri Ram School - Aravali

Submitting Author's Country

  • India