NDLI: Sleep assessment using a passive ballistocardiography-based system: Preliminary validation

Content Provider	IEEE Xplore Digital Library
Author	Mack, D.C. Patrie, J.T. Felder, R.A. Suratt, P.M. Alwan, M.
Copyright Year	2009
Description	Author affiliation: University of Virginia, Charlottesville, VA 22908 USA (Patrie, J.T.; Felder, R.A.; Suratt, P.M.) \|\| WellAWARE¿ Systems, Charlottesville, VA 22903 USA (Mack, D.C.) \|\| Center for Aging Services Technologies (CAST), Washington, DC 20008 USA (Alwan, M.)
Abstract	Quantitative sleep analysis through the use of polysomnography is a well established standard. Finding new ways to approach this, especially over multiple nights, is becoming more important due to a growing recognition of adverse effects from poor sleep and sleep disorders. The Non-Invasive Analysis of Physiological Signals $(NAPS^{TM})$ system is a ballistocardiography-based monitoring system developed to measure heart rate, breathing rate and musculoskeletal movement that shows promise as a general sleep analysis tool. Overnight sleep studies were conducted on 20 healthy subjects during a validation clinical trial which compared the NAPS system to actigraphy, using polysomnography as the gold standard. The NAPS system [κ = 3D 0.478; 95% CI (0.463, 0.494); p-value < 0.001] outperformed actigraphy [κ = 3D 0.344; 95% CI (0.324, 0.358); p-value < 0.001], largely due to better performance in distinguishing sleep onset times as determined by polysomnography [NAPS mean bias estimate: -2.5 epochs; 95% CI (-16.8, 11.9); p = 3D 0.725 \| Actigraphy mean bias estimate: -33.6 epochs; 95% CI (-57.4, -9.7); p = 3D 0.016)].
Starting Page	4319
Ending Page	4322
File Size	446829
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5333805
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sleep Signal analysis Biomedical monitoring Heart rate Musculoskeletal system Gold Performance analysis Patient monitoring USA Councils Heart rate measurement
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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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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