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The Study of the Snoring Signal Analysis Wavelet Transform

  • Yinhong Zhang
  • Quanlu Li
Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 129)

Abstract

It is used the wavelet transform based on the orthogonal signal analysis to analyze the non-stationary snores signal in this paper. The snoring is an important characteris of upper airway obstruction and a typical inspiratory sound appearing during sleep. The basic theory of the wavelet tranform is described and the effective hardware architecture for collecting the snore signal is proposed. The resulting experimental shows that the characteris of different frequencies of signal and offers value for analyzing the temporal feature of snoring sound in health medical treatment.

Keywords

Discrete Wavelet Transform Obstructive Sleep Apnea Syndrome Continuous Wavelet Transform Orthogonal Wavelet Biomedical Signal Processing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Yinhong Zhang
    • 1
  • Quanlu Li
    • 1
  1. 1.College of Physics and Information TechnologyShaanxi Normal UniversityXi’anChina

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