NDLI: Home monitoring of patients with Parkinson's disease via wearable technology and a web-based application

Content Provider	IEEE Xplore Digital Library
Author	Patel, S. Bor-rong Chen Buckley, T. Rednic, R. McClure, D. Tarsy, D. Shih, L. Dy, J. Welsh, M. Bonato, P.
Copyright Year	2010
Description	Author affiliation: Department of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115 USA (Dy, J.) \|\| Department of Neurology, Beth Israel Deaconess Medical Center, Boston MA 02215 USA (Tarsy, D.; Shih, L.) \|\| Cogent Computing Applied Research Centre Coventry University, UK (Rednic, R.) \|\| Department of Physical Medicine and Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston MA 02114 USA (Patel, S.; Bonato, P.) \|\| Partners Center for Connected Health, Boston MA 02114 USA (McClure, D.) \|\| Harvard School of Engineering and Applied Sciences, Cambridge, MA 02138 USA (Bor-rong Chen; Buckley, T.; Welsh, M.)
Abstract	Objective long-term health monitoring can improve the clinical management of several medical conditions ranging from cardiopulmonary diseases to motor disorders. In this paper, we present our work toward the development of a home-monitoring system. The system is currently used to monitor patients with Parkinson's disease who experience severe motor fluctuations. Monitoring is achieved using wireless wearable sensors whose data are relayed to a remote clinical site via a web-based application. The work herein presented shows that wearable sensors combined with a web-based application provide reliable quantitative information that can be used for clinical decision making.
Starting Page	4411
Ending Page	4414
File Size	753593
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5627124
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	Monitoring Fluctuations Wearable sensors Feature extraction Parkinson's disease Classification algorithms Biomedical monitoring
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
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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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