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PC based Heart Sound Monitoring System

by Arathy R, Gowriprabha V, Vysakh V
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 83 - Number 16
Year of Publication: 2013
Authors: Arathy R, Gowriprabha V, Vysakh V
10.5120/14529-2909

Arathy R, Gowriprabha V, Vysakh V . PC based Heart Sound Monitoring System. International Journal of Computer Applications. 83, 16 ( December 2013), 1-5. DOI=10.5120/14529-2909

@article{ 10.5120/14529-2909,
author = { Arathy R, Gowriprabha V, Vysakh V },
title = { PC based Heart Sound Monitoring System },
journal = { International Journal of Computer Applications },
issue_date = { December 2013 },
volume = { 83 },
number = { 16 },
month = { December },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume83/number16/14529-2909/ },
doi = { 10.5120/14529-2909 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:59:32.055484+05:30
%A Arathy R
%A Gowriprabha V
%A Vysakh V
%T PC based Heart Sound Monitoring System
%J International Journal of Computer Applications
%@ 0975-8887
%V 83
%N 16
%P 1-5
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Heart diseases caused by the heart and blood vessels disorders are world's largest killers. Hence early detection and monitoring of heart abnormalities is essential for diagnosis and effective treatment of heart diseases. This project aims to develop a low cost portable digital stethoscope. The primary function of this system is to work exactly like a normal stethoscope, but having an added advantage of not being limited by the length of the tubing with the help of wireless transmission. At the same time many people can listen to the stethoscope output which is normally impossible with an ordinary stethoscope. It also provides data to visually chart results by connecting to an off-instrument display such as a computer monitor so that further processing and diagnosis of abnormal phonocardiogram will be easy. For real time monitoring and for diagnosis LabVIEW application software is being used and finally a classification study is done using MATLAB and naïve bayers classifier. This advanced functionality can increase the physician's diagnostic capability.

References
  1. R. S. Khandpur, 1989. Handbook of biomedical instrumentation, second edition Tata McGraw-Hill Publishing Company Limited, NewDelhi, pp no. 167-170.
  2. M. S. Manikandan and K. Soman, 2010. Robust heart sound activity detection in noisy environments, Electronics letters, vol. 46, pp no. 1100-1102.
  3. D. Balasubramaniam,D. Nedumaran, 2010. Efficient Computation of Phonocardiographic Signal Analysis in Digital signal processor Based System, International journal of computer theory and Engineering, vol. 2, No. 4.
  4. Mihir Vaidya,Snehal Mhatre, Madhuri Ware, Pratik Pradhan, 2013. Embedded stethoscope, International Journal of Emerging Technology and Advanced Engineering, Vol 3, Issue 2.
  5. Diagnostics, monitoring and therapy: Digital stethoscopes. [online]. Available:http://tinyurl. com/m4lrwas, [Last Accessed: 20 August 2012].
  6. Franco, S. 1988. Design with operational amplifiers and analog integrated circuits: McGraw-Hill New York.
  7. Kamichik, S. 1999. Designing Power Amplifiers. Prompt Publications.
  8. Li, Tan. and Jiang, J. 2013. Digital signal processing: fundamentals and applications: [Access Online via Elsevier].
  9. Rish, I. 2001. An empirical study of the naive Bayes classifier, in IJCAI 2001 workshop on empirical methods in artificial intelligence. pp. 41-46.
Index Terms

Computer Science
Information Sciences

Keywords

Heart Sound Digital stethoscope PCG classification Wireless stethoscope

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