@article{ref1,
title="Technological solution for pervasive fall risk assessment",
journal="Studies in health technology and informatics",
year="2020",
author="Silva, Joana and Gomes, Diana and Sousa, Inês",
volume="273",
number="",
pages="176-181",
abstract="Falls are a well-known danger for older adults. With the worldwide population aging, there has been an increasing interest in assessing the risk of falling. This work presents a novel algorithm for continuous fall risk assessment, relying on a linear regression model whose inputs consist of both measured and self-reported risk factors. Two models were conceived and compared, following two distinct approaches, a theoretical and an empirical one. The system is pervasive and was tested in free-living unsupervised conditions. The results of our fall risk scoring system unveiled a strong correlation with the output of the clinical functional tests POMA and TUG (90% and 89%, respectively), which was deemed a promising outcome concerning the feasibility of pervasive monitoring for fall risk assessment in daily living.<p /> <p>Language: en</p>",
language="en",
issn="0926-9630",
doi="10.3233/SHTI200635",
url="http://dx.doi.org/10.3233/SHTI200635"
}