Literature DB >> 10794003

The design of a practical and reliable fall detector for community and institutional telecare.

K Doughty1, R Lewis, A McIntosh.   

Abstract

Falls are one of the greatest obstacles to independent living for frail and elderly people. Their early detection is an important step in providing people with the reassurance and confidence necessary to maintain an active lifestyle. We have investigated a worn fall detector linked to a community alarm system. A worn device is the only one which is satisfactory, provided that it generates few false alarms. The fall detector we have developed is the size of a small radio pager. It uses a two-stage detection process which senses shock and the orientation of the wearer. A fall is detected within 20 s and triggers a radio signal to a community alarm system. Tests were devised using a jointed mannequin to simulate five modes of falling to understand the effects of impact at different parts of the body. This allowed us to select the appropriate trigger threshold and wearing positions for the sensor. Prototypes were evaluated with 20 people to observe false alarms. The final design allowed reliable detection in 180 different falling scenarios.

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Mesh:

Year:  2000        PMID: 10794003     DOI: 10.1258/1357633001934483

Source DB:  PubMed          Journal:  J Telemed Telecare        ISSN: 1357-633X            Impact factor:   6.184


  14 in total

1.  Evaluation of a fall detector based on accelerometers: a pilot study.

Authors:  U Lindemann; A Hock; M Stuber; W Keck; C Becker
Journal:  Med Biol Eng Comput       Date:  2005-09       Impact factor: 2.602

Review 2.  Fall detection devices and their use with older adults: a systematic review.

Authors:  Shomir Chaudhuri; Hilaire Thompson; George Demiris
Journal:  J Geriatr Phys Ther       Date:  2014 Oct-Dec       Impact factor: 3.381

3.  Development and evaluation of a prior-to-impact fall event detection algorithm.

Authors:  Jian Liu; Thurmon E Lockhart
Journal:  IEEE Trans Biomed Eng       Date:  2014-04-04       Impact factor: 4.538

4.  Assessing postural control and postural control strategy in diabetes patients using innovative and wearable technology.

Authors:  Bijan Najafi; Deena Horn; Samuel Marclay; Ryan T Crews; Stephanie Wu; James S Wrobel
Journal:  J Diabetes Sci Technol       Date:  2010-07-01

5.  Perspectives on use of personal alarms by older fallers.

Authors:  Kylie Johnston; Karen Grimmer-Somers; Michele Sutherland
Journal:  Int J Gen Med       Date:  2010-08-30

6.  Health-Enabling and Ambient Assistive Technologies: Past, Present, Future.

Authors:  R Haux; S Koch; N H Lovell; M Marschollek; N Nakashima; K-H Wolf
Journal:  Yearb Med Inform       Date:  2016-06-30

Review 7.  A review of accelerometry-based wearable motion detectors for physical activity monitoring.

Authors:  Che-Chang Yang; Yeh-Liang Hsu
Journal:  Sensors (Basel)       Date:  2010-08-20       Impact factor: 3.576

8.  Evaluation of accelerometer-based fall detection algorithms on real-world falls.

Authors:  Fabio Bagalà; Clemens Becker; Angelo Cappello; Lorenzo Chiari; Kamiar Aminian; Jeffrey M Hausdorff; Wiebren Zijlstra; Jochen Klenk
Journal:  PLoS One       Date:  2012-05-16       Impact factor: 3.240

9.  Fall detection with the support vector machine during scripted and continuous unscripted activities.

Authors:  Shing-Hong Liu; Wen-Chang Cheng
Journal:  Sensors (Basel)       Date:  2012-09-07       Impact factor: 3.576

Review 10.  Exergaming for balance training of elderly: state of the art and future developments.

Authors:  Mike van Diest; Claudine J C Lamoth; Jan Stegenga; Gijsbertus J Verkerke; Klaas Postema
Journal:  J Neuroeng Rehabil       Date:  2013-09-25       Impact factor: 4.262

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