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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Issue: May 2023

Volume 8 | Issue 5

Impact factor: 8.15

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Paper Title:	DETECTION OF HEART BEAT SOUND CONDITIONS USING LSTM AND MFCC
Authors Name:	Suman Mukherjee , Muddana Vamsi Krishna , Shaik Abdul Kaleem , Thota Bharath Kumar
Unique Id:	IJSDR2305093
Published In:	Volume 8 Issue 5, May-2023
Abstract:	In this paper, we present a method for heart sound classification using long short-term memory (LSTM) and Mel Frequency Cepstral Coefficients (MFCC). The proposed method uses MFCC to extract features from heart sounds and LSTM to classify heart sounds into normal and abnormal classes. The dataset used in this study consists of heart sound recordings from different clinical settings, and the proposed method achieved an accuracy of 92% on this dataset.
Keywords:	heart sound classification, cardiovascular diseases, Long Short Term Memory, MFCC, detection of heart sound, heart disease , deep learning. DFT
Cite Article:	"DETECTION OF HEART BEAT SOUND CONDITIONS USING LSTM AND MFCC", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.632 - 638, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305093.pdf
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Publication Details:	Published Paper ID: IJSDR2305093 Registration ID:206083 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: 632 - 638 Publisher: IJSDR \| www.ijsdr.org ISSN Number: 2455-2631

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