CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Heart Murmur Detection using Fractal Analysis of Phonocardiograph Signals

by Anandarup Mukherjee, Nidhi Pathak, Anirban Roy
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 88 - Number 12
Year of Publication: 2014
Authors: Anandarup Mukherjee, Nidhi Pathak, Anirban Roy
10.5120/15407-3928

Anandarup Mukherjee, Nidhi Pathak, Anirban Roy . Heart Murmur Detection using Fractal Analysis of Phonocardiograph Signals. International Journal of Computer Applications. 88, 12 ( February 2014), 30-35. DOI=10.5120/15407-3928

@article{ 10.5120/15407-3928,
author = { Anandarup Mukherjee, Nidhi Pathak, Anirban Roy },
title = { Heart Murmur Detection using Fractal Analysis of Phonocardiograph Signals },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 88 },
number = { 12 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 30-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume88/number12/15407-3928/ },
doi = { 10.5120/15407-3928 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:07:27.949921+05:30
%A Anandarup Mukherjee
%A Nidhi Pathak
%A Anirban Roy
%T Heart Murmur Detection using Fractal Analysis of Phonocardiograph Signals
%J International Journal of Computer Applications
%@ 0975-8887
%V 88
%N 12
%P 30-35
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposes a method of differentiating normal heart sounds S1 and S2 from those of a heart with valvular dysfunction by comparing the generated Fractal dimension using Higuchi's Fractal Dimension. The aim is to provide a classifying parameter which can clearly demarcate normal heart sounds from those with murmurs. The performance of this method is verified against a Continuous Wavelet transform generated time- scale domain method.

References
  1. Howard B. Sprague, M. D. , Patrick A. Ongley, M. D. , "The Clinical Value of Phonocardiography", Circulation. 1954;9:127-134
  2. Nilanjan Dey, Achintya Das, Sheli Sinha Chaudhuri, "Wavelet Based Normal and Abnormal Heart Sound Identification using Spectrogram Analysis," International Journal of Computer Science & Engineering Technology (IJCSET), Vol. 3, No. 6, June 2012
  3. Todd R. Reed, Nancy E. Reed, Peter Fritzson," Heart sound analysis for symptom detection and computer-aided diagnosis," Simulation Modeling Practice and Theory 12 (2004) 129–146
  4. Mark E. Silverman, "The Third Heart Sound", Chapter 24, Clinical Methods: The History, Physical, and Laboratory Examinations. 3rd Edition, Boston: Butterworths; 1990
  5. Patel R, Bushnell DL, Sobotka PA: Implications of an audible third heart sound in evaluating cardiac function,The Western Journal Of Medicine, June 1993
  6. Heart murmur and sounds, Medline Plus, http://www. nlm. nih. gov/medlineplus/ency/article/003266. htm
  7. B. S. Raghavendra, and D. Narayana Dutt, "Computing Fractal Dimension of Signals using Multiresolution Box-counting Method", World Academy of Science, Engineering and Technology 37 2010.
  8. Benoit B. Mandelbrot, "The fractal geometry of nature", Henry Holt and company, 1983
  9. T. Higuchi, "Approach to an irregular time series on the basis of the fractal theory", Physica D 31(1988).
  10. University of Michigan, Heart Sound and Murmur Library, http://www. med. umich. edu/lrc/psb/heartsounds/.
  11. A. Mukherjee, K. K. Ghosh, "A Noise Independent Approach to QRS-Complex Detection Using CWT", International Conference on Informatics, Electronics and Vision, Dhaka, Bangladesh. 18-19 May 2013, IEEE Xplore (Digital Object Identifier: 10. 1109/ICIEV. 2013. 6572722), p. 1-5, 2013.
  12. Abdallah M. El-Ramsisi, Hassan A. Khalil, "Diagnosis System Based on Wavelet Transform, Fractal Dimension and Neural Network", Journal of Applied Sciences 7 (24):3971-3976, 2007, ISSN 1812-5654.
  13. J. Gnitecki, Z. Moussami, "The fractality of lung sounds: A comparison of three waveform fractal dimension algorithms", Chaos, Solitons & Fractals, Elsevier 2005, DOI: 10-1016/j. chaos. 2005. 02. 018, 0960-0779.
Index Terms

Computer Science
Information Sciences

Keywords

Fractal Dimension Higuchi's Algorithm Phonocardiograph Heart Sounds Murmurs

Powered by PhDFocusTM