• DocumentCode
    591294
  • Title

    Significance of snoring and other sounds appearing during the night based on the ECG

  • Author

    Czopek, K.

  • Author_Institution
    AGH Univ. of Sci. & Technol., Krakow, Poland
  • fYear
    2012
  • fDate
    9-12 Sept. 2012
  • Firstpage
    637
  • Lastpage
    640
  • Abstract
    Presented study demonstrates that there is a significant difference in sound spectrum between snoring, normal breath and obstructive apneas which is correlated with ECG signal. It is possible to use sound spectrum analysis as a supplementary method to determine the obstruction site for patients with obstructive sleep apnea syndrome (OSAS) or other disturbances during the night. Correlation between acoustic and ECG analysis might be one of the screening methods allowing early assessment of the severity of various sleep disorders. Several differences have been found between people showing typical snoring symptoms and subjects with some other common sleep syndromes. The acoustic characteristics of snoring sounds and its variability can be fully described using the time domain, by sound intensity and pitch and the frequency domain, using representative formant frequencies, shape and energy ratio measurements. Sounds appearing during the night, in conjunction with ECG monitoring, allow convenient subject assignment to categories described with the level of snoring severity.
  • Keywords
    acoustic signal processing; bioacoustics; electrocardiography; medical disorders; medical signal processing; neurophysiology; patient monitoring; pneumodynamics; sleep; time-frequency analysis; ECG analysis; ECG monitoring; ECG signal; acoustic analysis; common sleep syndromes; electrocardiography; energy ratio measurements; frequency domain; night disturbances; normal breath; obstructive sleep apnea syndrome; pitch domain; representative formant frequency; screening methods; shape ratio measurements; sleep disorders; snoring symptoms; sound intensity; sound spectrum analysis; time domain; Acoustics; Electrocardiography; Heart rate variability; Sleep apnea; Time domain analysis; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology (CinC), 2012
  • Conference_Location
    Krakow
  • ISSN
    2325-8861
  • Print_ISBN
    978-1-4673-2076-4
  • Type

    conf

  • Filename
    6420474