International Journal of Computer Theory and Engineering

Editor-In-Chief: Prof. Mehmet Sahinoglu
Frequency: Quarterly
ISSN: 1793-8201 (Print), 2972-4511 (Online)
Publisher:IACSIT Press

OPEN ACCESS
4.0
CiteScore

IJIET 2010 Vol.2(4): 660-664
doi: 10.7763/IJCTE.2010.V2.219

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

D. Balasubramaniam , D. Nedumaran

  • Laboratory, University of Madras, Guindy Campus, Chennai –600025, India, 1IEEE Student Member.

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.

Keywords

  • Heart auscultation
  • Digital signal processor
  • Phonocardiogram
  • Wavelet Transform
219-H304

How to Cite

Copied

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. https://doi.org/10.7763/IJCTE.2010.V2.219

Copyright & License

Copyright © 2010 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Article Metrics in Dimensions

Menu