Segmentation of heart sounds based on dynamic clustering

@article{Tang2012SegmentationOH,
  title={Segmentation of heart sounds based on dynamic clustering},
  author={Hong Tang and Ting Li and Tianshuang Qiu and Yongwan Park},
  journal={Biomed. Signal Proc. and Control},
  year={2012},
  volume={7},
  pages={509-516}
}
The heart sound signal is first separated into cycles, where the cycle detection is based on an instantaneous cycle frequency. The heart sound data of one cardiac cycle can be decomposed into a number of atoms characterized by timing delay, frequency, amplitude, time width and phase. To segment heart sounds, we made a hypothesis that the atoms of a heart sound congregate as a cluster in time–frequency domains. We propose an atom density function to indicate clusters. To suppress clusters of… CONTINUE READING

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