NDLI: Prediction of sleep apnea episodes from a wireless wearable multisensor suite

Content Provider	IEEE Xplore Digital Library
Author	Le, T.Q. Changqing Cheng Sangasoongsong, A. Bukkapatnam, S.T.S.
Copyright Year	2013
Abstract	Obstructive sleep apnea (OSA) is a common sleep disorder found in 24% of adult men and 9% of adult women. Although continuous positive airway pressure (CPAP) has emerged as a standard therapy for OSA, a majority of patients are not tolerant to this treatment due to the uncomfortable nasal air delivery during their sleep. We introduce a Dirichlet process Gaussian Mixture (DPGM) model to predict the occurrence of sleep apnea episodes based on analyzing complex cardiorespiratory signals gathered from a custom-designed wireless wearable multisensory suite. Extensive testing with PhysioNet's OSA database suggests that the accuracy of offline OSA classification is 88%. Accuracies for predicting an OSA episode 1-min ahead is 83% and 3-min ahead is 77%. Such accurate prediction of an impending OSA episode can be used to adaptively adjust CPAP airflow (towards improving the patients' adherence), or the torso posture (e.g., minor chin adjustments to maintain the steady levels of airflow).
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	152
Ending Page	155
File Size	574626
Page Count	4
File Format	PDF
ISBN	9781467327657
e-ISBN	9781467327671
e-ISBN	9781467327664
DOI	10.1109/PHT.2013.6461307
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-16
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless communication Wireless sensor networks Accuracy Predictive models Feature extraction Sleep apnea Biomedical monitoring
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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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