Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloFeasibility of Home-Based Automated Assessment of Postural Instability and Lower Limb Impairments in Parkinson's Disease
Anno di pubblicazione2019
Formato
  • Elettronico
  • Cartaceo
Autore/iClaudia Ferraris*, Roberto Nerino*, Antonio Chimienti*, Giuseppe Pettiti*, Nicola Cau§, Veronica Cimolin#, Corrado Azzaro§, Lorenzo Priano§, Alessandro Mauro§
Affiliazioni autori*: Instituto di Elettronica e Ingegneria dell'Informazione e delle Telecomunicazioni (IEIIT) - CNR §: Dipartimento di Neurologia e Neuroriabilitazione, Ospedale San Giuseppe - Istituto Auxologico Italiano #: Dipartimento di Elettronica, Informatica e Bioingegneria - Politecnico di Milano
Autori CNR e affiliazioni
  • CLAUDIA FERRARIS
  • ROBERTO NERINO
  • GIUSEPPE PETTITI
  • ANTONIO CHIMIENTI
Lingua/e
  • inglese
AbstractA self-managed, home-based system for the automated assessment of a selected set of Parkinson's disease motor symptoms is presented. The system makes use of an optical RGB-Depth device both to implement its gesture-based human computer interface and for the characterization and the evaluation of posture and motor tasks, which are specified according to the Unified Parkinson's Disease Rating Scale (UPDRS). Posture, lower limb movements and postural instability are characterized by kinematic parameters of the patient movement. During an experimental campaign, the performances of patients affected by Parkinson's disease were simultaneously scored by neurologists and analyzed by the system. The sets of parameters which best correlated with the UPDRS scores of subjects' performances were then used to train supervised classifiers for the automated assessment of new instances of the tasks. Results on the system usability and the assessment accuracy, as compared to clinical evaluations, indicate that the system is feasible for an objective and automated assessment of Parkinson's disease at home, and it could be the basis for the development of neuromonitoring and neurorehabilitation applications in a telemedicine framework.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da-
Pagine a-
Pagine totali21
RivistaSensors (Basel)
Attiva dal 2001
Editore: Molecular Diversity Preservation International (MDPI), - Basel
Lingua: inglese
ISSN: 1424-8220
Titolo chiave: Sensors (Basel)
Titolo proprio: Sensors. (Basel)
Titolo abbreviato: Sensors (Basel)
Numero volume della rivista19
Fascicolo della rivista5
DOI10.3390/s19051129
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)-
Parole chiaveParkinson's disease, UPDRS task, movement disorders, posture, postural stability, center of mass, RGB-Depth, automated assessment, machine learning, at-home monitoring, neurorehabilitation
Link (URL, URI)-
Titolo parallelo-
Data di accettazione-
Note/Altre informazioni-
Strutture CNR
  • IEIIT — Istituto di elettronica e di ingegneria dell'informazione e delle telecomunicazioni
Moduli/Attività/Sottoprogetti CNR
  • DIT.AD009.003.003 : MULTISEN - Tecnologie multisensoriali per la salute e il benessere
Progetti Europei-
Allegati
Feasibility of Home-Based Automated Assessment of Postural Instability and Lower Limb Impairments in Parkinson's Disease (documento privato )
Tipo documento: application/pdf