Tinetti Assessment Tool Base on Wireless Sensor Network

DOI

10.2991/iccnce.2013.44How to use a DOI?

Keywords

Tinetti table, Inertial sensor, Gait acceleration, Wireless sensor network.

Abstract

Falls are a common experience for the elderly. Falls in the elderly can be reduced by early enrollment in fall prevention programs.  Identifying people at high fall risk before they have actually fallen would allow earlier enrollment in fall prevention programs and possibly prevent or delay the onset of repetitive falls. To identify those at high fall risk, measures are needed that can easily be obtained without actually inducing falls. Tinetti assessment tools used for fall-risk screening in elderly persons is based on visual observation and/or timing of physical performance. In this study we design a risk of falling assessment system based on smart shoes and we give a method to classify the items in the Tinetti Gait assessment tool table.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yundong Xuan
AU  - Zhan Zhao
AU  - Zhen Fang
AU  - Zhihong Xu
AU  - Fangmin Sun
PY  - 2013/07
DA  - 2013/07
TI  - Tinetti Assessment Tool Base on Wireless Sensor Network
BT  - Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013)
PB  - Atlantis Press
SP  - 181
EP  - 184
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccnce.2013.44
DO  - 10.2991/iccnce.2013.44
ID  - Xuan2013/07
ER  -