NDLI: Automatic fall detection using wearable biomedical signal measurement terminal

Content Provider	IEEE Xplore Digital Library
Author	Thuy-Trang Nguyen Myeong-Chan Cho Tae-Soo Lee
Copyright Year	2009
Description	Author affiliation: Department of Biomedical Engineering, College of Medicine, Chungbuk National University, Cheongju, South Korea (Thuy-Trang Nguyen; Tae-Soo Lee) \|\| Myeong-Chan Cho is with Department of Internal Medicine, College of Medicine, Chungbuk National University, Cheongju, South Korea (Myeong-Chan Cho)
Abstract	In our study, we developed a mobile waistmounted device which can monitor the subject's acceleration signal and detect the fall events in real-time with high accuracy and automatically send an emergency message to a remote server via CDMA module. When fall event happens, the system also generates an alarm sound at 50Hz to alarm other people until a subject can sit up or stand up. A Kionix KXM52-1050 tri-axial accelerometer and a Bellwave BSM856 CDMA standalone modem were used to detect and manage fall events. We used not only a simple threshold algorithm but also some supporting methods to increase an accuracy of our system (nearly 100% in laboratory environment). Timely fall detection can prevent regrettable death due to long-lie effect; therefore increase the independence of elderly people in an unsupervised living environment.
Starting Page	5203
Ending Page	5206
File Size	529433
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5334079
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	Biomedical measurements Biomedical monitoring Event detection Multiaccess communication Computerized monitoring Remote monitoring Acceleration Signal detection Accelerometers Modems Wearable Biomedical System Fall detection CDMA module Accelerometer
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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