Comparative Analysis of S1 and S2 Sounds Localization Methods in a Phonocardiogram-Reference-Cited by-同舟云学术

Comparative Analysis of S1 and S2 Sounds Localization Methods in a Phonocardiogram

Published:2023-11-16 Issue: Volume:18 Page:1-5
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Container-title:2023 International Conference on Electrical, Computer and Energy Technologies (ICECET)
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Author:

Sotindjo Patrick¹,Hountondji Seneque²,Dotonou Cosme²,Djogbe Leopold²,Medenou Daton²,Vianou Antoine²

Affiliation:

1. ENSET-LOKOSSA National University of Sciences, Technologies, Engineering and Mathematics (UNSTIM),Abomey,Benin

2. Polytechnic School of Abomey-Calavi(EPAC) University of Abomey-Calavi (UAC),Abomey-Calavi,Benin

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10389177/10389181/10389417.pdf?arnumber=10389417

Reference12 articles.

1. Segmentation et classification des signaux non-stationnaires: application au traitement des sons cardiaque et á l’ aide au diagnostic;Moukadem;Université de Haute Alsace,2011

2. «Proposition of a Time Transform for the Detection of Cardiac Sounds in the Phonocardiogram of a Healthy Patient»;SOTINDJO;IEEE International Conf on Natural and Engineering Sciences for Sahels Sustainable Development - Impact of Big Data Application on Society and Environment (IBASE-BF),2020

3. Classifying Heart Sounds Challenge;Bentley,2011

4. Segmentation of Pathological Heart Sound Signal Using Empirical Mode Decomposition

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1. Localization of S1 and S2 in a phonocardiogram containing S3 or S4 sounds using signal strength;2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA);2024-02-01