Bispectral Analysis of Snore Signals for Obstructive Sleep Apnea Detection

  title={Bispectral Analysis of Snore Signals for Obstructive Sleep Apnea Detection},
  author={A. K. Ng and K. Y. Wong and C. H. Tan and T. S. Koh},
  journal={2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
Obstructive sleep apnea (OSA) is an insidious condition of recurring upper airway closure during sleep. Apart from polysomnography, many researchers tried to explore alternative methods to detect OSA. However, not much work has been done to address the non-Gaussian and nonlinear behavior of the snore signals, which the power spectrum may not adequately account for. Therefore, this paper presents the use of bispectral analysis of snore signals for OSA detection. The raw snore signals were… CONTINUE READING
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