A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson’s Disease

A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson’s Disease

Abstract Background Assessment and rating of Parkinson’s Disease (PD) are commonly based on the medical observation of several clinical manifestations, including the analysis of motor activities. In particular, medical specialists refer to the MDS-UPDRS (Movement Disorder Society – sponsored revisio...

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Bibliographic Details
Main Authors: Domenico Buongiorno, Ilaria Bortone, Giacomo Donato Cascarano, Gianpaolo Francesco Trotta, Antonio Brunetti, Vitoantonio Bevilacqua
Format: Article
Language:English
Published: BMC 2019-12-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Classification
Artificial neural network
Support vector machine
Feature selection
Parkinson’s disease
Gait analysis
Online Access:https://doi.org/10.1186/s12911-019-0987-5

Internet

https://doi.org/10.1186/s12911-019-0987-5

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