NDLI: Regular and non regular snore features as markers of SAHS

Content Provider	IEEE Xplore Digital Library
Author	Mesquita, J. Fiz, J.A. Solà-Soler, J. Morera, J. Jané, R.
Copyright Year	2010
Description	Author affiliation: Dept. ESAII, Universitat Politècnica de Catalunya (UPC), Institut de Bioenginyeria de Catalunya (IBEC), Barcelona, Spain (Mesquita, J.; Solà-Soler, J.; Jané, R.) \|\| Hospital Universitari Germans Trias i Pujol, Badalona (HUGTP), Spain (Morera, J.) \|\| Hospital de Navarra, IBEC, CIBER-BBN and HUGTP, Spain (Fiz, J.A.)
Abstract	Sleep Apnea-Hypopnea Syndrome (SAHS) diagnosis is still done with an overnight multi-channel polysomnography. Several efforts are being made to study profoundly the snore mechanism and discover how it can provide an opportunity to diagnose the disease. This work introduces the concept of regular snores, defined as the ones produced in consecutive respiratory cycles, since they are produced in a regular way, without interruptions. We applied 2 thresholds (THadaptive and THmedian) to the time interval between successive snores of 34 subjects in order to select regular snores from the whole all-night snore sequence. Afterwards, we studied the effectiveness that parameters, such as time interval between successive snores and the mean intensity of snores, have on distinguishing between different levels of SAHS severity (AHI (Apnea-Hypopnea $Index)<5h^{−1},$ AHI<10 $h^{−1},$ $AHI<15h^{−1},$ $AHI<30h^{−1}).$ Results showed that THadaptive outperformed THmedian on selecting regular snores. Moreover, the outcome achieved with non-regular snores intensity features suggests that these carry key information on SAHS severity.
Starting Page	6138
Ending Page	6141
File Size	478788
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5627786
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sleep apnea Histograms Indexes Shape Medical diagnostic imaging Hospitals Electronic mail
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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