Literature DB >> 21096697

A new washable low-cost garment for everyday fall detection.

Khalil Niazmand1, Claudius Jehle, Lorenzo T D'Angelo, Tim C Lueth.   

Abstract

In this paper, a new garment for automatic fall detection and alert is presented for the first time. It includes a washable pullover with integrated acceleration sensors, evaluation and control electronics. The system measures the accelerations at the torso and on the arms in three directions in space. The fall detection is based on recognizing, by means of the sensors, the posture and abnormal acceleration magnitudes usually associated to a fall. The alarm as well as the movement information is sent via a wireless radio link. A fall will be detected within the pullover's electronics. The fall detection system was tested on ten volunteers. The daily life movements are also stored on a memory card. The latter can be read in on a PC. Thanks to an optimized production process, the system can be affordably reproduced in low volume productions and can be adjusted for any usage. The power supply of the system is realized with rechargeable batteries.

Mesh:

Year:  2010        PMID: 21096697     DOI: 10.1109/IEMBS.2010.5627298

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  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

4.  Internet of things in healthcare for patient safety: an empirical study.

Authors:  Tahera Yesmin; Michael W Carter; Aviv S Gladman
Journal:  BMC Health Serv Res       Date:  2022-03-01       Impact factor: 2.655

Review 5.  Sensor Fusion and Smart Sensor in Sports and Biomedical Applications.

Authors:  José Jair Alves Mendes; Mário Elias Marinho Vieira; Marcelo Bissi Pires; Sergio Luiz Stevan
Journal:  Sensors (Basel)       Date:  2016-09-23       Impact factor: 3.576

  5 in total

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