@article{ref1,
title="Scoring the sit-to-stand performance of Parkinson's patients with a single wearable sensor",
journal="Sensors (Basel)",
year="2022",
author="Marin, Frédéric and Warmerdam, Elke and Marin, Zoé and Ben Mansour, Khalil and Maetzler, Walter and Hansen, Clint",
volume="22",
number="21",
pages="e8340-e8340",
abstract="Monitoring disease progression in Parkinson's disease is challenging. Postural transfers by sit-to-stand motions are adapted to trace the motor performance of subjects. Wearable sensors such as inertial measurement units allow for monitoring motion performance. We propose quantifying the sit-to-stand performance based on two scores compiling kinematics, dynamics, and energy-related variables. Three groups participated in this research: asymptomatic young participants (n = 33), senior asymptomatic participants (n = 17), and Parkinson's patients (n = 20). An unsupervised classification was performed of the two scores to differentiate the three populations. We found a sensitivity of 0.4 and a specificity of 0.96 to distinguish Parkinson's patients from asymptomatic subjects. In addition, seven Parkinson's patients performed the sit-to-stand task &quot;ON&quot; and &quot;OFF&quot; medication, and we noted the scores improved with the patients' medication states (MDS-UPDRS III scores). Our investigation revealed that Parkinson's patients demonstrate a wide spectrum of mobility variations, and while one inertial measurement unit can quantify the sit-to-stand performance, differentiating between PD patients and healthy adults and distinguishing between &quot;ON&quot; and &quot;OFF&quot; periods in PD patients is still challenging.<p /> <p>Language: en</p>",
language="en",
issn="1424-8220",
doi="10.3390/s22218340",
url="http://dx.doi.org/10.3390/s22218340"
}