• DocumentCode
    1829946
  • Title

    Wavelet-based Analysis of Nocturnal Snoring in Apneic Patients Undergoing Polysomnography

  • Author

    Matsiki, D. ; Deligianni, X. ; Vlachogianni-Daskalopoulou, E. ; Hadjileontiadis, L.J.

  • Author_Institution
    Aristotle Univ. of Thessaloniki, Thessaloniki
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    1912
  • Lastpage
    1915
  • Abstract
    Snoring is a typical inspiratory sound appearing during sleep, mostly in male patients. Snoring may also occur in conjunction with a disordered sleep pattern and can be associated with a range of symptoms, including obstructive sleep apnea syndrome (OSAS). OSAS is a type of sleep apnea due to upper airway obstruction, during persistent ventilatory movements and it can result in cessation of breathing. The standard diagnosis of OSAS comprises a full nocturnal session in a sleep laboratory. Many efforts have been made towards the development of less expensive testing methods and snoring analysis constitutes one of these methods. The aim of the current study is to explore any possible relationship between snoring analysis using wavelet transform and apnea syndrome. Snoring sounds were acquired overnight in a sleep laboratory, together with the polysomnography (PSG) testing. The analysis was based on the remarks of a specialized doctor on the PSG results.
  • Keywords
    bioacoustics; patient diagnosis; pneumodynamics; sleep; wavelet transforms; apnea syndrome; apneic patients; disordered sleep pattern; nocturnal snoring session; obstructive sleep apnea syndrome; persistent ventilatory movements; polysomnography testing; snoring sounds; upper airway obstruction; wavelet-based analysis; Acoustical engineering; Continuous wavelet transforms; Frequency; Hospitals; Laboratories; Medical diagnostic imaging; Sleep apnea; Testing; Wavelet analysis; Wavelet transforms; Apnea; continuous wavelet transform; nocturnal snoring; total energy distribution; Algorithms; Data Interpretation, Statistical; Equipment Design; Fourier Analysis; Humans; Models, Statistical; Polysomnography; Respiration; Respiratory Sounds; Sleep; Sleep Apnea Syndromes; Snoring; Time Factors; Wakefulness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4352690
  • Filename
    4352690