Feasibility of Home-Based Automated Assessment of Postural Instability and Lower Limb Impairments in Parkinson's Disease.

Parkinson’s disease RGB-depth UPDRS tasks at-home monitoring automated assessment center of mass machine learning movement disorders neurorehabilitation postural stability posture

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
05 Mar 2019
Historique:
received: 28 12 2018
revised: 01 02 2019
accepted: 26 02 2019
entrez: 8 3 2019
pubmed: 8 3 2019
medline: 30 4 2019
Statut: epublish

Résumé

A 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.

Identifiants

pubmed: 30841656
pii: s19051129
doi: 10.3390/s19051129
pmc: PMC6427119
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

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Auteurs

Claudia Ferraris (C)

Institute of Electronics, Computer and Telecommunication Engineering, National Research Council, Corso Duca degli Abruzzi 24, 10129 Torino, Italy. claudia.ferraris@ieiit.cnr.it.
Department of Neurosciences, University of Turin, Via Cherasco 15, 10100 Torino, Italy. claudia.ferraris@ieiit.cnr.it.

Roberto Nerino (R)

Institute of Electronics, Computer and Telecommunication Engineering, National Research Council, Corso Duca degli Abruzzi 24, 10129 Torino, Italy. roberto.nerino@ieiit.cnr.it.

Antonio Chimienti (A)

Institute of Electronics, Computer and Telecommunication Engineering, National Research Council, Corso Duca degli Abruzzi 24, 10129 Torino, Italy. antonio.chimienti@ieiit.cnr.it.

Giuseppe Pettiti (G)

Institute of Electronics, Computer and Telecommunication Engineering, National Research Council, Corso Duca degli Abruzzi 24, 10129 Torino, Italy. giuseppe.pettiti@ieiit.cnr.it.

Nicola Cau (N)

Istituto Auxologico Italiano, IRCCS, Department of Neurology and NeuroRehabilitation, S. Giuseppe Hospital, 28824 Piancavallo, Oggebbio (Verbania), Italy. n.cau@auxologico.it.

Veronica Cimolin (V)

Department of Electronics, Information and Bioengineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy. veronica.cimolin@polimi.it.

Corrado Azzaro (C)

Istituto Auxologico Italiano, IRCCS, Department of Neurology and NeuroRehabilitation, S. Giuseppe Hospital, 28824 Piancavallo, Oggebbio (Verbania), Italy. c.azzaro@auxologico.it.

Lorenzo Priano (L)

Istituto Auxologico Italiano, IRCCS, Department of Neurology and NeuroRehabilitation, S. Giuseppe Hospital, 28824 Piancavallo, Oggebbio (Verbania), Italy. lorenzo.priano@unito.it.
Department of Neurosciences, University of Turin, Via Cherasco 15, 10100 Torino, Italy. lorenzo.priano@unito.it.

Alessandro Mauro (A)

Istituto Auxologico Italiano, IRCCS, Department of Neurology and NeuroRehabilitation, S. Giuseppe Hospital, 28824 Piancavallo, Oggebbio (Verbania), Italy. alessandro.mauro@unito.it.
Department of Neurosciences, University of Turin, Via Cherasco 15, 10100 Torino, Italy. alessandro.mauro@unito.it.

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