Classification of respiratory signals by linear analysis

@article{Aydore2009ClassificationOR,
  title={Classification of respiratory signals by linear analysis},
  author={Sergul Aydore and I. Sen and Y. Kahya and M. K. Mihçak},
  journal={2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
  year={2009},
  pages={2617-2620}
}
  • Sergul Aydore, I. Sen, +1 author M. K. Mihçak
  • Published 2009
  • Mathematics, Medicine
  • 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
The aim of this study is the classification of wheeze and non-wheeze epochs within respiratory sound signals acquired from patients with asthma and COPD. Since a wheeze signal, having a sinusoidal waveform, has a different behavior in time and frequency domains from that of a non-wheeze signal, the features selected for classification are kurtosis, Renyi entropy, f50/ f90 ratio and mean-crossing irregularity. Upon calculation of these features for each wheeze and non-wheeze portion, the whole… Expand
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