@article{ref1,
title="Differentiating fallers from nonfallers using nonlinear variability analyses of data from a low-cost portable footswitch device: a feasibility study",
journal="Acta of bioengineering and biomechanics",
year="2021",
author="Gonabadi, Arash Mohammadzadeh and Antonellis, Prokopios and Malcolm, Philippe",
volume="23",
number="2",
pages="139-145",
abstract="PURPOSE: Falls are one of the main causes of injuries in older adults. This study evaluated a low-cost footswitch device that was designed to measure gait variability and investigates whether there are any relationships between variability metrics and clinical balance tests for individuals with a history of previous falls. <br><br>METHODS: Sixteen older adults completed a history of falls questionnaire, three functional tests related to fall risk, and walked on a treadmill with the footswitch device. We extracted the stride times from the device and applied two nonlinear variability analyses: coefficient of variation and detrended fluctuation analysis. <br><br>RESULTS: The temporal variables and variability metrics from the footswitch device correlated with gold-standard measurements based on ground reaction force data. One variability metric (detrended fluctuation analysis) showed a significant relationship with the presence of past falls with a sensitivity of 43%. <br><br>CONCLUSION: This feasibility study demonstrates the basis for using low-cost footswitch devices to predict fall risk.<p /> <p>Language: en</p>",
language="en",
issn="1509-409X",
doi="",
url="http://dx.doi.org/"
}