Automatic breath and snore sounds classification from tracheal and ambient sounds recordings.

@article{Yadollahi2010AutomaticBA,
  title={Automatic breath and snore sounds classification from tracheal and ambient sounds recordings.},
  author={Azadeh Yadollahi and Zahra Moussavi},
  journal={Medical engineering & physics},
  year={2010},
  volume={32 9},
  pages={985-90}
}
In this study respiratory sound signals were recorded from 23 patients suspect of obstructive sleep apnea, who were referred for the full-night sleep lab study. The sounds were recorded with two microphones simultaneously: one placed over trachea and one hung in the air in the vicinity of the patient. During recording the sound signals, patients' Polysomnography (PSG) data were also recorded simultaneously. An automatic method was developed to classify breath and snore sound segments based on… CONTINUE READING

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