Heart Sound Clustering Based on Supervised Kohonen Network

Xing Hai Yang; Wen Jie Fu; Yu Tai Wang; Jia Ding; Chang Zhi Wei

doi:10.4028/www.scientific.net/AMM.138-139.1115

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 138-139Heart Sound Clustering Based on Supervised Kohonen...

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.

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Applied Mechanics and Materials (Volumes 138-139)

Pages:

1115-1120

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https://doi.org/10.4028/www.scientific.net/AMM.138-139.1115

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Online since:

November 2011

Authors:

Xing Hai Yang, Wen Jie Fu, Yu Tai Wang, Jia Ding, Chang Zhi Wei

Keywords:

Heart Sound, Kohonen, MFCC

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References

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