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Reseach Article

Survey of Different Methodologies Used in Phonocardiogram Signal Analysis

by Simarjot Kaur Randhawa, Mandeep Singh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 117 - Number 9
Year of Publication: 2015
Authors: Simarjot Kaur Randhawa, Mandeep Singh
10.5120/20583-3006

Simarjot Kaur Randhawa, Mandeep Singh . Survey of Different Methodologies Used in Phonocardiogram Signal Analysis. International Journal of Computer Applications. 117, 9 ( May 2015), 18-21. DOI=10.5120/20583-3006

@article{ 10.5120/20583-3006,
author = { Simarjot Kaur Randhawa, Mandeep Singh },
title = { Survey of Different Methodologies Used in Phonocardiogram Signal Analysis },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 117 },
number = { 9 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 18-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume117/number9/20583-3006/ },
doi = { 10.5120/20583-3006 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:00:24.165865+05:30
%A Simarjot Kaur Randhawa
%A Mandeep Singh
%T Survey of Different Methodologies Used in Phonocardiogram Signal Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 117
%N 9
%P 18-21
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Heart sounds give us information about the state of the heart. Heart diseases can be detected at an earlier stage by analyzing the heart sounds. In this paper, detailed discussion of various methodologies that have been used earlier to analyze the heart sounds has been carried out. Comparison has been done on the basis of methodology used and the performance achieved.

References
  1. Cromwell, L. , Weibell, F. J. , Pfeiffer, E. A. 2010. Biomedical Instrumentation and Measurements. Pearson Education, Second Edition.
  2. Safara, F. , Doraisamy, S. , Azman, A. , Jantan, A. and Ranga S. 2013. Diagnosis of Heart Valve Disorders through Trapezoidal Features and Hybrid Classifier. International Journal of Bioscience, Biochemistry and Bioinformatics, Volume 3, No. 6.
  3. Nigam, V. and Priemer R. A simplicity-based fuzzy clustering approach for detection and extraction of murmurs from the phonocardiogram. IOP publishing physiological measurement, Physiol. Meas. Volume 29. 33–47.
  4. El-Segaier, M. , Lilja, O. , Lukkarinen, S. , Sornmo L. , Sepponen, R. and Pesonen, E. R. 2005. Computer based detection and analysis of Heart Sound and Murmur. Annals of Biomedical Engineering. Volume 33, No. 7. 937-942.
  5. Jiang, Z. and Choi, S. 2006. A cardiac sound characteristic waveform method for in-home heart disorder monitoring with electric stethoscope. Expert Systems with Applications, Volume 31. 286-298.
  6. Noponen, A. L. , Lukkarinen, S. , Angerla, A. and Sepponen, R. 2007. Phono-spectrographic analysis of heart murmur in children. BioMed Central, BMC Pediatrics.
  7. uenyong, S. , Nishihara, A. , Kongprawechnon, W. and Tungpimolrut, K. . 2011. A framework for automatic heart sound analysis without segmentation. BioMedical Engineering OnLine, Volume 10.
  8. Sanei, S. , Ghodsi, M. and Hassani, H. 2011. An adaptive singular spectrum analysis approach to murmur detection from heart sounds. Elsevier, Medical Engineering & Physics, Volume 33. 362–367.
  9. Akbari, M. A. , Hassani, K. , Doyle, J. D. , Navidbakhsh, M. , Sangargir, M. , Bajelani, K. and Ahmadi, Z. S. 2011. Digital Subtraction Phonocardiography (DSP) applied to the detection and characterization of heart murmurs. BioMedical Engineering OnLine, Volume 10, 1-14.
  10. Akbari, M. A. , Hassani, K. , Doyle, J. D. , Navidbakhsh, M. , Sangargir, M. , Bajelani, K. and Foroughi, M. 2011. Separating the random murmur component of the phonocardiogram from the underlying deterministic heart sounds applied to Digital Subtraction Phonocardiography (DSP). 18th Iranian Conference on BioMedical Engineering (ICBME).
  11. Sarbandi, R. R. , Doyle, J. D. , Navidbakhsh, M. , Hassani, K. and Torabiyan, H. 2011. A color spectrographic phonocardiography (CSP) applied to the detection and characterization of heart murmurs: preliminary results. BioMedical Engineering OnLine, Volume 10.
  12. Xiao-Juan, H. , Jia-Wei, Z. , Gui-Tao, C. , Hong-Hai, Z. and Hao, L. 2011. Feature extraction and choice in PCG based on Hilbert Transfer. 4th International Congress on Image and Signal Processing.
  13. Debbal, S. M. and Bereksi-Reguig, F. 2012. Detection of Differences of the Phonocardiogram Signals by Using the Continuous Wavelet Transform Method. Biomedical Soft Computing and Human Sciences, Volume 18, No. 2. 73-81.
  14. Safara, F. , Doraisamy, S. , Azman, A. , Jantan, A. and Ranga, S. 2012. Wavelet Packet Entropy for Heart Murmur Classification. Hindawi Publishing Corporation. Advances in Bioinformatics, Volume 2012. 6 pages.
  15. Sun, H. , Chen, W. and Gong J. 2013. An Improved Empirical Mode Decomposition-Wavelet Algorithm for Phonocardiogram Signal Denoising and its Application in the First and Second Heart Sound Extraction. 6th International Conference on Biomedical Engineering and Informatics (BMEI 2013).
  16. Safara, F. , Doraisamy, S. , Azman, A. , Jantan, A. and Ramaiah, A. R. A. 2013. Multi-level basis selection of wavelet packet decomposition tree for heart sound classification. Elsevier. Computers in Biology and Medicine, Volume 43. 1407-1414.
  17. Singh, M. and Cheema A. 2013. Heart Sounds Classification using Feature Extraction of Phonocardiography Signal. International Journal of Computer Applications. Volume 77.
Index Terms

Computer Science
Information Sciences

Keywords

Heart sounds Systolic Diastolic Murmurs