DocumentCode :
2895354
Title :
A Tool for Automated Fall Risk Classification
Author :
Kurschl, Werner ; Neuhold, Michael
Author_Institution :
Sch. of Inf., Commun. & Media, Upper Austria Univ. of Appl. Sci., Hagenberg, Austria
fYear :
2010
fDate :
12-14 April 2010
Firstpage :
791
Lastpage :
797
Abstract :
For elderly it is more likely to fall and a fall can lead to severe injuries. Furthermore there is an ongoing discussion, if manual methods without any sensing and computing hardware or automated methods with the support of sensors and computing hardware are better in classifying elderly in regard of their risk to fall. Beside of these discussions, new sensing hardware allows the improvement of existing approaches so that automated fall risk classification can i) use very cheap pressure-sensing hardware, ii) can easily be used by nursing staff, and iii) keep the assessment time short. We present in this paper a tool for automated fall risk classification, which applies the leaning test. We also show that our approach with low measuring frequency and the rather coarse resolution of surface under pressure is able to achieve repeatable and reliable classification results.
Keywords :
graphical user interfaces; health care; medical computing; pressure sensors; risk management; automated fall risk classification; cheap pressure-sensing hardware; elder people care; graphical user interfaces; nursing staff; short assessment time; Hardware; Injuries; Medical services; Personnel; Plastic films; Pressure measurement; Risk management; Senior citizens; Sensor systems; Testing; center of body mass; center of pressure; fall risk; flat pressure sensor; mobility; plastic-coated films; reliable classification; risk-scoring system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology: New Generations (ITNG), 2010 Seventh International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-6270-4
Type :
conf
DOI :
10.1109/ITNG.2010.98
Filename :
5501682
Link To Document :
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