Literature DB >> 22255445

Fall detection algorithm for the elderly using acceleration sensors on the shoes.

S Y Sim1, H S Jeon, G S Chung, S K Kim, S J Kwon, W K Lee, K S Park.   

Abstract

The rate of increase in the number of aging population in Korea is very rapid among OECD-member countries. And fall accident is one of the most common factors that threaten the health of the elderly. Therefore, it is needed to develop a fall detection system for the elderly. Most fall detection systems use accelerometers attached on the torso. And in various studies, it was verified that these systems have high sensitivity and high specificity. However, the elderly would feel uncomfortable when banding a sensor on the chest every day. Therefore, in this study, we attached an accelerometer on the shoes to detect fall in the elderly. This prototype system would be improved as a smaller, low-power system in the next study. Also, applying energy harvesting device to this shoe system is being developed to reduce the weight of battery.

Mesh:

Year:  2011        PMID: 22255445     DOI: 10.1109/IEMBS.2011.6091223

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  5 in total

Review 1.  Fall detection with body-worn sensors : a systematic review.

Authors:  L Schwickert; C Becker; U Lindemann; C Maréchal; A Bourke; L Chiari; J L Helbostad; W Zijlstra; K Aminian; C Todd; S Bandinelli; J Klenk
Journal:  Z Gerontol Geriatr       Date:  2013-12       Impact factor: 1.281

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.  Body Acceleration as Indicator for Walking Economy in an Ageing Population.

Authors:  Giulio Valenti; Alberto G Bonomi; Klaas R Westerterp
Journal:  PLoS One       Date:  2015-10-29       Impact factor: 3.240

Review 4.  E-Textiles for Healthy Ageing.

Authors:  Kai Yang; Beckie Isaia; Laura J E Brown; Steve Beeby
Journal:  Sensors (Basel)       Date:  2019-10-15       Impact factor: 3.576

5.  Manual physical balance assistance of therapists during gait training of stroke survivors: characteristics and predicting the timing.

Authors:  Juliet A M Haarman; Erik Maartens; Herman van der Kooij; Jaap H Buurke; Jasper Reenalda; Johan S Rietman
Journal:  J Neuroeng Rehabil       Date:  2017-12-02       Impact factor: 4.262

  5 in total

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