Perancangan Stetoskop Elektronik dan Aplikasi Analisa Suara Jantung Dengan Pengolahan Sinyal Digital

Authors

  • Arya Adhi Nugraha

DOI:

https://doi.org/10.33795/jartel.v1i1.123

Keywords:

heart sound, wavelet, rms

Abstract

In this paper and has implemented a stethoscope electronic application sound analysis in heart client-server. A stethoscope electronics will catch a heart and menghantarkannya to computer so that the computer can sound mendigitalisasi heart. The application will process, sound analysis heart store and display a heart condition and sound spectrum of the heart. Extraction habitude anything undertaken to gain special habitude from the heart to perform the process of decomposing paket wavelet and root mean square ( rms ) at the sound of the heart. From the data obtained, in different heart conditions, decomposition of wavelet package give value range min 6 up to a maximum of 23 is much larger and RMS only give minimal range 0.04 to 0.16 in band 0-125Hz of variations of the same types of heart conditions. Sample Data obtained from 5 persons recorded sound his heart and then analyzed with the same two methods. The Data obtained are more closer to the normal heart sound so it can be deduced from the 5 sample data used is the sound of the heart under normal conditions.

References

Li Tan, Jean Jiang, “Digital Signal Processing, Fundamental and Applications”, Seconds Edition, Oxford. 2013. http://www.pamz.com/Physical_Assessment/assessment.htm, http://rale.ca/Links.htm

C. Saritha, V. Sukanya, V.NArasimha Murthy, “ECG Signal Analysis using Wavelet Transforms”, Bulg.J.Physics, Vol. 35, pp.68-77, 2008.

A. Ghodrati, S. Marinello,“Statistical Analysis of RR interval Irregularities for Detection of Atrial Fibrillation”, IEEE Transactions on Computers in Cardiology, ISSN 0276-6574, Vol. 35, pp. 1057-1060, 2008.

M G. Tsipouras, D I Fotiadis, D Sideris , “Arrhythmia Classification using the RR-interval Duration Signal”,IEEE Transactions on Computers in Cardiology, Vol. 29, 485-488, 2002.

www.physionet.org/physiobank/database/mitdb/Mallat J, “A theory of multiresolution signal decomposition using the Wavelet Transformation”, IEEE Transactions on Pattern Analysis abd Machine Intellignece, Vol. 11, pp. 674-693, 1989.

Misiti, M. and Y., Oppenhaim, G., Poggi, J. M.: MATLAB Wavelet toolbox user’s guide, The MathWorks Inc. 1996

Daubechies, I.,: Ten Lectures on Wavelets. Society of Industrial and Appiled Mathematics,Pensylvania,1992

Jan, J.,: Digital Signal Filtering, Analysis and Restoration. VUTIUM Press, Technical Universityof Brno, 2000.

Walter Doberenz, Thomas Gewinnus, “Borland Delphi 7”, Grundlagen, Profiwissen, Kochbuch.

Downloads

Published

2015-05-30

How to Cite

[1]
A. A. Nugraha, “Perancangan Stetoskop Elektronik dan Aplikasi Analisa Suara Jantung Dengan Pengolahan Sinyal Digital”, Jartel, vol. 1, no. 1, pp. 1-8, May 2015.