Comparative Motor Pre-clinical Assessment in Parkinson's Disease Using Supervised Machine Learning Approaches

Annals of Biomedical Engineering
Erika RoviniFilippo Cavallo

Abstract

Millions of people worldwide are affected by Parkinson's disease (PD), which significantly worsens their quality of life. Currently, the diagnosis is based on assessment of motor symptoms, but interest toward non-motor symptoms is increasing, as well. Among them, idiopathic hyposmia (IH) is associated with an increased risk of developing PD in healthy adults. In this work, a wearable inertial device, named SensFoot V2, was used to acquire motor data from 30 healthy subjects, 30 people with IH, and 30 PD patients while performing tasks from the MDS-UPDRS III for lower limb assessment. The most significant and non-correlated extracted parameters were selected in a feature array that can identify differences between the three groups of people. A comparative classification analysis was performed by applying three supervised machine learning algorithms. The system resulted able to distinguish between healthy and patients (specificity and recall equal to 0.967), and the people with IH can be identified as a separate class within a three-group classification (accuracy equal to 0.78). Thus, the system could support the clinician in objective assessment of PD. Further, identification of IH together with changes in motor parameters could...Continue Reading

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Citations

Oct 3, 2020·Annals of Biomedical Engineering·Abdul Haleem ButtFilippo Cavallo
Aug 9, 2019·Neurological Sciences : Official Journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology·Xiangming WangLing Yang
Jan 23, 2020·Annals of Biomedical Engineering·Bipasha KashyapDavid Szmulewicz
Nov 14, 2018·Biomedical Engineering Online·A H ButtF Cavallo
Aug 21, 2019·International Journal of Environmental Research and Public Health·Carlos Magno SousaNilviane Pires
Dec 6, 2018·Sensors·Martín MartínezMaría A Pastor
Oct 22, 2020·Sensors·Shih-Feng HuangChien-Chin Hsu
Dec 14, 2019·Current Opinion in Biomedical Engineering·Daniel WittJessilyn Dunn
May 25, 2021·Frontiers in Aging Neuroscience·Jie MeiJohannes Frasnelli
Jun 15, 2021·Computer Methods in Biomechanics and Biomedical Engineering·Nevena RadovićTanja Antunović

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Methods Mentioned

BETA
nuclear magnetic resonance
PCA
feature array
imaging techniques

Software Mentioned

Matlab
ROTA
SensFoot
GYRO

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