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Original Article

Analysis of the second heart sound using continuous wavelet transform

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Pages 151-156 | Published online: 09 Jul 2009

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Read on this site (5)

S. M. Debbal & F. Bereksi-Reguig. (2009) The effectiveness of the wavelet transforms method in the heart sounds analysis. Journal of Medical Engineering & Technology 33:1, pages 51-65.
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S. Ari, P. Kumar & G. Saha. (2008) A robust heart sound segmentation algorithm for commonly occurring heart valve diseases. Journal of Medical Engineering & Technology 32:6, pages 456-465.
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S. Ari, K. Sensharma & G. Saha. (2008) DSP implementation of a heart valve disorder detection system from a phonocardiogram signal. Journal of Medical Engineering & Technology 32:2, pages 122-132.
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S. M. Debbal & F. Bereksi-Reguig. (2008) Filtering and classification of phonocardiogram signals using wavelet transform. Journal of Medical Engineering & Technology 32:1, pages 53-65.
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S. M. Debbal & F. Bereksi-Reguig. (2006) Analysis and study of the variation of splitting in the second heartbeat sound of wavelet transform. Journal of Medical Engineering & Technology 30:5, pages 298-305.
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Articles from other publishers (30)

Vincenzo Muto, Emilio Andreozzi, Carmela Cappelli, Jessica Centracchio, Gennaro Di Meo, Daniele Esposito, Paolo Bifulco & Davide De Caro. (2023) Real-Time Implementation of a Frequency Shifter for Enhancement of Heart Sounds Perception on VLIW DSP Platform. Electronics 12:20, pages 4359.
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Samiul Based Shuvo, Syed Samiul Alam, Syeda Umme Ayman, Arbil Chakma, Prabal Datta Barua & U Rajendra Acharya. (2023) NRC-Net: Automated noise robust cardio net for detecting valvular cardiac diseases using optimum transformation method with heart sound signals. Biomedical Signal Processing and Control 86, pages 105272.
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Xinqi Bao, Yujia Xu, Hak-Keung Lam, Mohamed Trabelsi, Ines Chihi, Lilia Sidhom & Ernest N. Kamavuako. (2023) Time-Frequency distributions of heart sound signals: A Comparative study using convolutional neural networks. Biomedical Engineering Advances 5, pages 100093.
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C.-H. Shen. (2022) Feature Extraction and Classification of Heart Murmurs Based on Acoustic Qualities. IRBM 43:5, pages 470-478.
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Nusrat Binta Nizam, Shoyad Ibn Sabur Khan Nuhash & Taufiq Hasan. (2022) Hilbert-envelope features for cardiac disease classification from noisy phonocardiograms. Biomedical Signal Processing and Control 78, pages 103864.
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Aditya Dhavala, Asif Ahmed, R Periyasamy & Deepak Joshi. (2022) An MFCC Features-driven subject-independent Convolution Neural Network for Detection of Chronic and Non-chronic Pulmonary Diseases. An MFCC Features-driven subject-independent Convolution Neural Network for Detection of Chronic and Non-chronic Pulmonary Diseases.
Sibghatullah I. Khan, Saeed Mian Qaisar & Ram Bilas Pachori. (2022) Automated classification of valvular heart diseases using FBSE-EWT and PSR based geometrical features. Biomedical Signal Processing and Control 73, pages 103445.
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Samiul Based Shuvo, Shams Nafisa Ali, Soham Irtiza Swapnil, Taufiq Hasan & Mohammed Imamul Hassan Bhuiyan. (2021) A Lightweight CNN Model for Detecting Respiratory Diseases From Lung Auscultation Sounds Using EMD-CWT-Based Hybrid Scalogram. IEEE Journal of Biomedical and Health Informatics 25:7, pages 2595-2603.
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Dawid Gradolewski, Giovanni Magenes, Sven Johansson & Wlodek Kulesza. (2019) A Wavelet Transform-Based Neural Network Denoising Algorithm for Mobile Phonocardiography. Sensors 19:4, pages 957.
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Amit Krishna Dwivedi, Syed Anas Imtiaz & Esther Rodriguez-Villegas. (2019) Algorithms for Automatic Analysis and Classification of Heart Sounds–A Systematic Review. IEEE Access 7, pages 8316-8345.
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Ashok Mondal, Ishan Saxena, Hong Tang & Poulami Banerjee. (2018) A Noise Reduction Technique Based on Nonlinear Kernel Function for Heart Sound Analysis. IEEE Journal of Biomedical and Health Informatics 22:3, pages 775-784.
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Jonathan S. Lee, Sukjae Choi & Ohbyung Kwon. (2017) Identifying multiuser activity with overlapping acoustic data for mobile decision making in smart home environments. Expert Systems with Applications 81, pages 299-308.
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Shovan Barma, Bo-Wei Chen, Wen Ji, Feng Jiang & Jhing-Fa Wang. (2015) Measurement of Duration, Energy of Instantaneous Frequencies, and Splits of Subcomponents of the Second Heart Sound. IEEE Transactions on Instrumentation and Measurement 64:7, pages 1958-1967.
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Shovan Barma, Bo-Wei Chen, Ka Lok Man & Jhing-Fa Wang. (2015) Quantitative Measurement of Split of the Second Heart Sound (S2). IEEE/ACM Transactions on Computational Biology and Bioinformatics 12:4, pages 851-860.
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Dawid Gradolewski & Grzegorz Redlarski. (2014) Wavelet-based denoising method for real phonocardiography signal recorded by mobile devices in noisy environment. Computers in Biology and Medicine 52, pages 119-129.
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Yi-Li Tseng, Pin-Yu Ko & Fu-Shan Jaw. (2012) Detection of the third and fourth heart sounds using Hilbert-Huang transform. BioMedical Engineering OnLine 11:1.
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L. Hamza Cherif, S.M. Debbal & F. Bereksi-Reguig. (2010) Choice of the wavelet analyzing in the phonocardiogram signal analysis using the discrete and the packet wavelet transform. Expert Systems with Applications 37:2, pages 913-918.
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Ilias Maglogiannis, Euripidis Loukis, Elias Zafiropoulos & Antonis Stasis. (2009) Support Vectors Machine-based identification of heart valve diseases using heart sounds. Computer Methods and Programs in Biomedicine 95:1, pages 47-61.
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Ervin Sejdić, Igor Djurović & Jin Jiang. (2009) Time–frequency feature representation using energy concentration: An overview of recent advances. Digital Signal Processing 19:1, pages 153-183.
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L. HAMZA CHERIF, S. M. DEBBAL & F. BEREKSI-REGUIG. (2011) SEGMENTATION OF HEART SOUNDS AND HEART MURMURS. Journal of Mechanics in Medicine and Biology 08:04, pages 549-559.
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Taner Topal, Hüseyin Polat & İnan Güler. (2008) Software Development for the Analysis of Heartbeat Sounds with LabVIEW in Diagnosis of Cardiovascular Disease. Journal of Medical Systems 32:5, pages 409-421.
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Endre Kosa, Adam Tamas Balogh, Balint Uveges & Ferenc Kovacs. (2008) Heuristic method for heartbeat detection in fetal phonocardiographic signals. Heuristic method for heartbeat detection in fetal phonocardiographic signals.
Abbas K. Abbas, R. Bassam & R. M. Kasim. 2008. 4th Kuala Lumpur International Conference on Biomedical Engineering 2008. 4th Kuala Lumpur International Conference on Biomedical Engineering 2008 212 216 .
M. De Melis, U. Morbiducci & L. Scalise. (2007) Identification of cardiac events by Optical Vibrocardiograpy: comparison with Phonocardiography. Identification of cardiac events by Optical Vibrocardiograpy: comparison with Phonocardiography.
S. M. DEBBAL & F. BEREKSI-REGUIG. (2011) COMPARISON BETWEEN DISCRETE AND PACKET WAVELET TRANSFORM ANALYSES IN THE STUDY OF HEARTBEAT CARDIAC SOUNDS. Journal of Mechanics in Medicine and Biology 07:02, pages 199-214.
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Marie Guion Johnson, Ahmed Tewfik, K. P. Madhu & Arthur G. Erdman. (2007) Using Voice-Recognition Technology to Eliminate Cardiac Cycle Segmentation in Automated Heart Sound Diagnosis. Biomedical Instrumentation & Technology 41:2, pages 157-166.
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S.M. Debbal & F. Bereksi-Reguig. (2007) Automatic measure of the split in the second cardiac sound by using the wavelet transform technique. Computers in Biology and Medicine 37:3, pages 269-276.
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Ping Wang, Chu Sing Lim, Sunita Chauhan, Jong Yong A. Foo & Venkataraman Anantharaman. (2006) Phonocardiographic Signal Analysis Method Using a Modified Hidden Markov Model. Annals of Biomedical Engineering 35:3, pages 367-374.
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F. Rios-Gutierrez, R. Alba-Flores, K. Ejaz, G. Nordehn, N. Andrisevic & S. Burns. (2006) Classification of Four Types of Common Murmurs using Wavelets and a Learning Vector Quantization Network. Classification of Four Types of Common Murmurs using Wavelets and a Learning Vector Quantization Network.
S. M. DEBBAL & F. BEREKSI-REGUIG. (2011) DISCRIMINATION OF PATHOLOGICAL CASES OF THE CARDIACS SOUNDS SIGNALS BY THE WAVELET TRANSFORM. Journal of Mechanics in Medicine and Biology 05:04, pages 517-530.
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