Paper Title:
Heart Sound Clustering Based on Supervised Kohonen Network
  Abstract

In this paper, a new method based on Supervised Kohonen network (SKN) and Mel-frequency cepstrum coefficients (MFCC) is introduced. MFCC of heart sound signal are extracted firstly, and then features are got by calculating every order of MFCC average energy. Finally, SKN is used to identify heart sound. The experimental result shows that this algorithm has a good performance in heart sound clustering, and is of significant practical value.

  Info
Periodical
Chapter
Chapter 3: Chemical and Biomedical Engineering
Edited by
Honghua Tan
Pages
1115-1120
DOI
10.4028/www.scientific.net/AMM.138-139.1115
Citation
X. H. Yang, W. J. Fu, Y. T. Wang, J. Ding, C. Z. Wei, "Heart Sound Clustering Based on Supervised Kohonen Network", Applied Mechanics and Materials, Vols. 138-139, pp. 1115-1120, 2012
Online since
November 2011
Keywords
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