Consiglio Nazionale delle Ricerche

Tipo di prodottoContributo in atti di convegno
TitoloAssessment of Parkinson's disease at-home using a natural interface based system
Anno di pubblicazione2018
FormatoElettronico
Autore/iC. Ferraris, R. Nerino, A. Chimienti, G. Pettiti, C. Azzaro, G. Albani, L. Priano, A. Mauro
Affiliazioni autoriDepartment of Neurology and Neurorehabilitation, Istituto Auxologico Italiano, IRCSS, Piancavallo (VB), Italy; Department of Neurosciences, Torino, Italy
Autori CNR e affiliazioni
  • CLAUDIA FERRARIS
  • ROBERTO NERINO
  • GIUSEPPE PETTITI
  • ANTONIO CHIMIENTI
Lingua/e
  • inglese
AbstractA system for the management of the automatic assessment of Parkinson's Disease (PD) at home is presented. The system is based on a non-contact and natural human computer interface made by optical RGB-Depth devices and it is suitable for motor impaired users, as are PD patients. The interface allows for both the gesture-based management of the system and the tracking of hands and body movements of the patient during the execution of standard upper and lower limb tasks as specified by the Unified Parkinson's Disease Rating Scale (UPDRS). The accurate tracking and characterization of hands and body movements allows for an automatic and objective assessment of UPDRS tasks, making feasible the monitoring of motor fluctuations at home and on daily basis, features that are important in disease management. The assessment is performed by machine learning techniques; the kinematic parameters characterizing the patient movements during task execution are input to trained classifiers to rate his/her motor performance. Results on monitoring experiments at home and on the system accuracy compared to clinical evaluations are presented and discussed.
Lingua abstractinglese
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Verificato da refereeSì: Internazionale
Stato della pubblicazionePreprint
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Parole chiaveParkinson's Disease, Movement Analysis, UPDRS assessment, RGB-Depth sensors, Hand Tracking
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Titolo convegno/congressoFORITAAL 2018, 9° Forum Italiano Ambient Assisted Living
Luogo convegno/congressoLecce
Data/e convegno/congresso02-04/07/2018
RilevanzaNazionale
RelazioneContributo
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  • IEIIT — Istituto di elettronica e di ingegneria dell'informazione e delle telecomunicazioni
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    • Assessment of Parkinson's disease at-home using a natural interface based system