@article{ref1,
title="Gait and balance patterns related to Free-Walking and TUG tests in Parkinson's Disease based on plantar pressure data",
journal="Annual International Conference of the IEEE Engineering in Medicine and Biology Society.",
year="2021",
author="Tsakanikas, Vassilis D. and Dimopoulos, Dimitrios G. and Tachos, Nikolaos S. and Chatzaki, Chariklia and Skaramagkas, Vasileios and Christodoulakis, Georgios and Tsiknakis, Manolis and Fotiadis, Dimitrios I.",
volume="2021",
number="",
pages="236-239",
abstract="Continuous monitoring of patients with Parkinson's Disease (PD) is critical for their effective management, as early detection of improvement or degradation signs play an important role on pharmaceutical and/or interventional plans. Within this work, a group of seven PD patients and a group of ten controls performed a set of exercises related to the evaluation of PD gait. Plantar pressure signals were collected and used to derive a set of analytics. Statistical tests and feature selection approaches revealed that the spatial distribution of the Center of Pressure during a static balance exercise is the most discriminative analytic and may be used for every-day monitoring of the patients. <br><br>RESULTS have revealed that out of the 28 features extracted from the collected signals, 10 were statistically significant (p < 0.05) and can be used to machine learning algorithms and/or similar approaches.<p /> <p>Language: en</p>",
language="en",
issn="2375-7477",
doi="10.1109/EMBC46164.2021.9629637",
url="http://dx.doi.org/10.1109/EMBC46164.2021.9629637"
}