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The Study of the Snoring Signal Analysis Wavelet Transform

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Book cover Recent Advances in Computer Science and Information Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 129))

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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.

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References

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Author information

Authors and Affiliations

  1. College of Physics and Information Technology, Shaanxi Normal University, Xi’an, Shaanxi, 710062, China

    Yinhong Zhang & Quanlu Li

Authors
  1. Yinhong Zhang
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  2. Quanlu Li
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Editor information

Editors and Affiliations

  1. , College of Communication Engineering, Jilin University, Room 313, Building No.1, Changchun, Nanhu Avenue 5372, Jilin, 130012, China, People's Republic

    Zhihong Qian

  2. , Department of Electrical Engineering, The University of Mississippi, Anderson Hall 314, Mississippi, 38677, Mississippi, USA

    Lei Cao

  3. , Department of Electrical and Computer En, Naval Postgraduate School, Rm. 452 Spanagel Bldg. 232, Dyer Road 833, Monterey, 93943-5121, California, USA

    Weilian Su

  4. , Faculty of Computing, London Metropolitan University, Holloway Road 166-220, London, N7 8DB, United Kingdom

    Tingkai Wang

  5. , College of Software, Changchun University of Science and Tech, Changchun, Jilin, 130022, China, People's Republic

    Huamin Yang

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Zhang, Y., Li, Q. (2012). The Study of the Snoring Signal Analysis Wavelet Transform. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 129. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25778-0_11

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  • DOI: https://doi.org/10.1007/978-3-642-25778-0_11

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25777-3

  • Online ISBN: 978-3-642-25778-0

  • eBook Packages: EngineeringEngineering (R0)

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