Cluster analysis and classification of heart sounds

@article{Amit2009ClusterAA,
  title={Cluster analysis and classification of heart sounds},
  author={Guy Amit and Noam Gavriely and Nathan Intrator},
  journal={Biomed. Signal Proc. and Control},
  year={2009},
  volume={4},
  pages={26-36}
}
Acoustic heart signals, generated by the mechanical processes of the cardiac cycle, carry significant information about the underlying functioning of the cardiovascular system. We describe a computational analysis framework for identifying distinct morphologies of heart sounds and classifying them into physiological states. The analysis framework is based on hierarchical clustering, compact data representation in the feature space of cluster distances and a classification algorithm. We applied… CONTINUE READING
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