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Empirical Mode Decomposition (EMD) Based Denoising Method for Heart Sound Signal and Its Performance Analysis

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 6 No. 5 (2016)

DOI
10.11591/ijece.v6i5.11344
ISSN
2088-8708, 2088-8708
Published
2016-10-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc-nd/4.0

Abstract

In this paper, a denoising method for heart sound signal based on empirical mode decomposition (EMD) is proposed. To evaluate the performance of the proposed method, extensive simulations are performed using synthetic normal and abnormal heart sound data corrupted with white, colored, exponential and alpha-stable noise under different SNR input values. The performance is evaluated in terms of signal-to-noise ratio (SNR), root mean square error (RMSE), and percent root mean square difference (PRD), and compared with wavelet transform (WT) and total variation (TV) denoising methods. The simulation results show that the proposed method outperforms two other methods in removing three types of noises.

Collaboration network of the authors

31 authors · 82 co-authorship links · 14 across different organisations

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  • Bandung Institute of Technology
  • Maranatha Christian University
  • Andalas University
  • Institut Teknologi Nasional Bandung
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles
Suhono Harso SupangkatBandung Institute of Technology3
Yoanes BandungBandung Institute of Technology2
Carmadi MachbubBandung Institute of Technology2
Trio AdionoBandung Institute of Technology2
Eko MarpanajiBandung Institute of Technology1
Adit KurniawanBandung Institute of Technology1
Bamba Riyanto TrilaksonoAffiliation unknown1
Andri MahendraBandung Institute of Technology1
Thay LiungBandung Institute of Technology1
Herry Imanta SitepuBandung Institute of Technology1
Rachmad Vidya Wicaksana PutraBandung Institute of Technology1
Rian FerdianAndalas University1
Febri DawaniBandung Institute of Technology1
Imran AbdurrahmanBandung Institute of Technology1
Arry Akhmad ArmanBandung Institute of Technology1
Radiant Victor ImbarMaranatha Christian University1
Meliana Christianti JohanMaranatha Christian University1
Gina PurnamaBandung Institute of Technology1
Irma Amelia DewiInstitut Teknologi Nasional Bandung1
Agung Wahyu SetiawanBandung Institute of Technology1
Alfie Rizky AnandaBandung Institute of Technology1
Ayu Paranitha H. PutriBandung Institute of Technology1
Donny DanudirdjoBandung Institute of Technology1
Aditya Ferry ArdyantoBandung Institute of Technology1
Idham HafizhBandung Institute of Technology1
Septian Gilang Permana PutraBandung Institute of Technology1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Empirical Mode Decomposition (EMD) Based Denoising Method for Heart Sound Signal and Its Performance Analysis</dc:title><dc:creator>Salman, Amy Hamidah</dc:creator><dc:creator>Ahmadi, Nur</dc:creator><dc:creator>Mengko, Richard</dc:creator><dc:creator>Langi, Armein Z. R.</dc:creator><dc:creator>Mengko, Tati L. R.</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;p&amp;gt;In this paper, a denoising method for heart sound signal based on empirical mode decomposition (EMD) is proposed. To evaluate the performance of the proposed method, extensive simulations are performed using synthetic normal and abnormal heart sound data corrupted with white, colored, exponential and alpha-stable noise under different SNR input values. The performance is evaluated in terms of signal-to-noise ratio (SNR), root mean square error (RMSE), and percent root mean square difference (PRD), and compared with wavelet transform (WT) and total variation (TV) denoising methods. The simulation results show that the proposed method outperforms two other methods in removing three types of noises.&amp;lt;/p&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2016-10-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v6i5.11344</dc:identifier><dc:identifier>10.11591/ijece.v6i5.11344</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 6 No 5 (2016); 2197</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://www.iaescore.com/journals/index.php/IJECE/article/viewFile/1146/4206</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0</dc:rights></oai_dc:dc>