General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta, Assoc. Prof. Engin Maşazade
    • Managing Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
    • Average Days from Submission to Acceptance: 192 days
    • E-mail: ijcte@iacsitp.com
    • Journal Metrics:

Editor-in-chief
Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2010 Vol.2(4): 660-664 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2010.V2.219

Efficient Computation of Phonocardiographic Signal Analysis in Digital Signal Processor Based System

D. Balasubramaniam and D. Nedumaran

Abstract—This article presents a real-time and cost effective system for the heart auscultation monitoring and hearing. The system design comprises of a Phonocardiographic pre-amplifier circuit with a TMS 320C6711 Digital Signal Processor Starterkit (DSK) and its associated software. The Phonocardiogram signal from the pre-amplifier circuit is acquired through the CODEC input of the DSK and subjected to various signal processing techniques. Frequency analysis and component analysis are performed to identify the normal and pathological heart sound patterns using Short Time Fourier Transform (STFT), spectrogram display and Wavelet transform techniques respectively. To study the performance of the system, the analysis of heart sound patterns for various diseases were conducted. Finally the computational efficiency of the systemwas calculated by comparing the execution time of the algorithms in the proposed DSPPCG (Digital Signal Processor based Phonocardiogram) system with the PCPCG (PC based Phonocardiogram) system.

Index Terms—Heart auscultation, Digital signal processor, Phonocardiogram, Wavelet Transform

D. Balasubramaniam1 and D. Nedumaran2,1,2Central Instrumentation and Service Laboratory, University of Madras, Guindy Campus, Chennai –600025, India, 1IEEE Student Member (email: signalist@gmail.com).

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Cite: D. Balasubramaniam and D. Nedumaran, "Efficient Computation of Phonocardiographic Signal Analysis in Digital Signal Processor Based System," International Journal of Computer Theory and Engineering vol. 2, no. 4, pp. 660-664, 2010.  


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