Open AccessSensor-Derived Physical Activity Parameters Can Predict Future Falls in People with Dementia
Author(s) -
Michael Schwenk,
Klaus Hauer,
Tania Zieschang,
Stefan Englert,
Jane Mohler,
Bijan Najafi
Publication year - 2014
Publication title -
gerontology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.397
H-Index - 94
eISSN - 1423-0003
pISSN - 0304-324X
DOI - 10.1159/000363136
Subject(s) - dementia , sitting , physical medicine and rehabilitation , medicine , cohort , poison control , physical therapy , rehabilitation , psychology , falling (accident) , gerontology , psychiatry , medical emergency , disease , pathology
There is a need for simple clinical tools that can objectively assess the fall risk in people with dementia. Wearable sensors seem to have the potential for fall prediction; however, there has been limited work performed in this important area.
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