Performance of an open-source heart sound segmentation algorithm on eight independent databases.

@article{Liu2017PerformanceOA,
  title={Performance of an open-source heart sound segmentation algorithm on eight independent databases.},
  author={Chengyu Liu and David B. Springer and G. Clifford},
  journal={Physiological measurement},
  year={2017},
  volume={38 8},
  pages={
          1730-1745
        }
}
OBJECTIVE Heart sound segmentation is a prerequisite step for the automatic analysis of heart sound signals, facilitating the subsequent identification and classification of pathological events. Recently, hidden Markov model-based algorithms have received increased interest due to their robustness in processing noisy recordings. In this study we aim to evaluate the performance of the recently published logistic regression based hidden semi-Markov model (HSMM) heart sound segmentation method, by… Expand
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