http://www.cnr.it/ontology/cnr/individuo/prodotto/ID282981
Correlation of Kinematic Parameters and UPDRS Scoring during Finger Tapping movement in Parkinson's Disease (Rapporti tecnici, manuali, carte geologiche e tematiche e prodotti multimediali)
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- Correlation of Kinematic Parameters and UPDRS Scoring during Finger Tapping movement in Parkinson's Disease (Rapporti tecnici, manuali, carte geologiche e tematiche e prodotti multimediali) (literal)
- Anno
- 2014-01-01T00:00:00+01:00 (literal)
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Claudia Ferraris, Antonio Chimienti, Roberto Nerino, Giuseppe Pettiti, Daniele Pianu (2014)
Correlation of Kinematic Parameters and UPDRS Scoring during Finger Tapping movement in Parkinson's Disease
(literal)
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- Claudia Ferraris, Antonio Chimienti, Roberto Nerino, Giuseppe Pettiti, Daniele Pianu (literal)
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- Istituto di Elettronica ed Ingegneria dell'Informazione e delle Telecomunicazioni (literal)
- Titolo
- Correlation of Kinematic Parameters and UPDRS Scoring during Finger Tapping movement in Parkinson's Disease (literal)
- Abstract
- In Parkinson's disease, the clinical assessment of the upper-limb motor test severity occurs through the
UPDRS (Unified Parkinson's Disease Rating Scale). With the perspective of building a system for at-home
monitoring of Parkinson's patient status, we investigate algorithms for an automatic scoring of the UPDRS upper-limb motor tests.
Building on a previuous work, where we developed a system for the automatic evaluation
of kinematic parameters relevant for Parkinson's desease, we adopt a machine learning approach to the automatic scoring problem.
A pool of Parkinson patients have been scored by neurologists for UPDRS upper-limb motor tests and the kinematic parameters
of their performances acquired. The most significant kinematic parameters are identified by a PCA analysis.
Different classifiers have been trained with the neurologists UPDRS scores and the associated kinematic parameters of the patients.
The results of the investigation are presented. (literal)
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