{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T15:49:17Z","timestamp":1772725757307,"version":"3.50.1"},"reference-count":68,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2019,3,5]],"date-time":"2019-03-05T00:00:00Z","timestamp":1551744000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>A self-managed, home-based system for the automated assessment of a selected set of Parkinson\u2019s 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\u2019s 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\u2019s disease were simultaneously scored by neurologists and analyzed by the system. The sets of parameters which best correlated with the UPDRS scores of subjects\u2019 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\u2019s disease at home, and it could be the basis for the development of neuromonitoring and neurorehabilitation applications in a telemedicine framework.<\/jats:p>","DOI":"10.3390\/s19051129","type":"journal-article","created":{"date-parts":[[2019,3,5]],"date-time":"2019-03-05T11:19:50Z","timestamp":1551784790000},"page":"1129","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":46,"title":["Feasibility of Home-Based Automated Assessment of Postural Instability and Lower Limb Impairments in Parkinson\u2019s Disease"],"prefix":"10.3390","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5381-4794","authenticated-orcid":false,"given":"Claudia","family":"Ferraris","sequence":"first","affiliation":[{"name":"Institute of Electronics, Computer and Telecommunication Engineering, National Research Council, Corso Duca degli Abruzzi 24, 10129 Torino, Italy"},{"name":"Department of Neurosciences, University of Turin, Via Cherasco 15, 10100 Torino, Italy"}]},{"given":"Roberto","family":"Nerino","sequence":"additional","affiliation":[{"name":"Institute of Electronics, Computer and Telecommunication Engineering, National Research Council, Corso Duca degli Abruzzi 24, 10129 Torino, Italy"}]},{"given":"Antonio","family":"Chimienti","sequence":"additional","affiliation":[{"name":"Institute of Electronics, Computer and Telecommunication Engineering, National Research Council, Corso Duca degli Abruzzi 24, 10129 Torino, Italy"}]},{"given":"Giuseppe","family":"Pettiti","sequence":"additional","affiliation":[{"name":"Institute of Electronics, Computer and Telecommunication Engineering, National Research Council, Corso Duca degli Abruzzi 24, 10129 Torino, Italy"}]},{"given":"Nicola","family":"Cau","sequence":"additional","affiliation":[{"name":"Istituto Auxologico Italiano, IRCCS, Department of Neurology and NeuroRehabilitation, S. Giuseppe Hospital, 28824 Piancavallo, Oggebbio (Verbania), Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6299-7254","authenticated-orcid":false,"given":"Veronica","family":"Cimolin","sequence":"additional","affiliation":[{"name":"Department of Electronics, Information and Bioengineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy"}]},{"given":"Corrado","family":"Azzaro","sequence":"additional","affiliation":[{"name":"Istituto Auxologico Italiano, IRCCS, Department of Neurology and NeuroRehabilitation, S. Giuseppe Hospital, 28824 Piancavallo, Oggebbio (Verbania), Italy"}]},{"given":"Lorenzo","family":"Priano","sequence":"additional","affiliation":[{"name":"Istituto Auxologico Italiano, IRCCS, Department of Neurology and NeuroRehabilitation, S. Giuseppe Hospital, 28824 Piancavallo, Oggebbio (Verbania), Italy"},{"name":"Department of Neurosciences, University of Turin, Via Cherasco 15, 10100 Torino, Italy"}]},{"given":"Alessandro","family":"Mauro","sequence":"additional","affiliation":[{"name":"Istituto Auxologico Italiano, IRCCS, Department of Neurology and NeuroRehabilitation, S. Giuseppe Hospital, 28824 Piancavallo, Oggebbio (Verbania), Italy"},{"name":"Department of Neurosciences, University of Turin, Via Cherasco 15, 10100 Torino, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2019,3,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3389\/fneur.2013.00054","article-title":"Assessing bradykinesia in Parkinsonian Disorders","volume":"4","author":"Pal","year":"2013","journal-title":"Front. 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