NDLI: Monitoring torso acceleration for estimating the respiratory flow and efforts for sleep apnea detection

Content Provider	IEEE Xplore Digital Library
Author	Dehkordi, P. Marzencki, M. Tavakolian, K. Kaminska, M. Kaminska, B.
Copyright Year	2012
Description	Author affiliation: Sch. of Eng. Sci., Simon Fraser Univ., Burnaby, BC, Canada (Dehkordi, P.; Marzencki, M.; Tavakolian, K.; Kaminska, B.) \|\| Respiratory Div., McGill Univ. Health Centre, Montreal, QC, Canada (Kaminska, M.)
Abstract	Sleep apnea syndrome is a common sleep breathing disorder classified into two major categories: obstructive and central. In this study, we propose a method based on ensemble learning to estimate the respiratory flow, the thoracic respiratory effort and the abdominal respiratory effort from acceleration of suprasternal notch, the thorax and the abdomen respectively. The estimated flow can be used to detect the breathing cessations and the estimated efforts can be used to classify them into obstructive and central apneas. The estimated signals are compared with the signals recorded by welle-stablished measurement methods to show overall mean errors from 11% for the abdomen effort, 17% for the thorax effort and 16% error for the flow estimation. The presented results demonstrate the feasibility of using the torso acceleration as a simple and inexpensive solution for long term measuring and monitoring of respiratory functions for sleep apnea detection.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	6345
Ending Page	6348
File Size	795819
Page Count	4
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6347445
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sleep apnea Accelerometers Monitoring Acceleration Thorax Mathematical model Estimation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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