@article{ref1,
title="Context aware falls risk assessment: A case study comparison",
journal="Conference proceedings - IEEE engineering in medicine and biology society",
year="2015",
author="Reginatto, Brenda and Taylor, Kenneth and Patterson, Matthew R. and Power, Dermot and Komaba, Yusuke and Maeda, Kazuho and Inomata, Akihiro and Caulfield, Brian",
volume="2015",
number="",
pages="5477-5480",
abstract="This paper describes three retrospective case studies to illustrate the potential clinical value of a system capable of capturing objective gait metrics and environment data from older adults with a history of falls while they go about their daily lives. Participants in this study wore an inertial sensor above each ankle and a wearable camera around their neck for seven consecutive days. Selected metrics are presented to illustrate scenarios where the data collected by the system could be of clinical value. Evidence suggests that obtaining objective gait metrics and environment data from older adults may not only allow healthcare professionals to assess gait more accurately, but also to design treatment plans and falls prevention strategies that are more specifically tailored to each individual.<p /> <p>Language: en</p>",
language="en",
issn="1557-170X",
doi="10.1109/EMBC.2015.7319631",
url="http://dx.doi.org/10.1109/EMBC.2015.7319631"
}