Sliding Window Autocorrelation for the Synchronous Unsupervised Segmentation of the Phonocardiogram

Authors

  • Sankua Chao Department of Systems and Computer Engineering, Carleton University
  • Adrain D.C. Chan Department of Systems and Computer Engineering, Carleton University

Abstract

A wavelet pre-processor is examined as an extension to the Sliding Window Autocorrelation (SW A) phonocardiogram (PCG) segmentation algorithm. The method by which the SWA performs unsupervised, synchronous segmentation of heartbeats in a PCG is described. The appropriateness of using Morlet wavelets for pre- processing PCGs is also described. A possible implementation of a wavelet pre-processor is presented with preliminary experimental results. 

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Published

2008-06-11

How to Cite

[1]
S. Chao and A. D. Chan, “Sliding Window Autocorrelation for the Synchronous Unsupervised Segmentation of the Phonocardiogram”, CMBES Proc., vol. 31, no. 1, Jun. 2008.

Issue

Vol. 31 (2008)

Section

Academic