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Link to original content: https://api.crossref.org/works/10.3390/S19214764
{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T18:58:18Z","timestamp":1722970698061},"reference-count":37,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2019,11,2]],"date-time":"2019-11-02T00:00:00Z","timestamp":1572652800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Italian Ministry of Health","award":["RF-2009-1472190"]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"The increment of the prevalence of neurological diseases due to the trend in population aging demands for new strategies in disease management. In Parkinson\u2019s disease (PD), these strategies should aim at improving diagnosis accuracy and frequency of the clinical follow-up by means of decentralized cost-effective solutions. In this context, a system suitable for the remote monitoring of PD subjects is presented. It consists of the integration of two approaches investigated in our previous works, each one appropriate for the movement analysis of specific parts of the body: low-cost optical devices for the upper limbs and wearable sensors for the lower ones. The system performs the automated assessments of six motor tasks of the unified Parkinson\u2019s disease rating scale, and it is equipped with a gesture-based human machine interface designed to facilitate the user interaction and the system management. The usability of the system has been evaluated by means of standard questionnaires, and the accuracy of the automated assessment has been verified experimentally. The results demonstrate that the proposed solution represents a substantial improvement in PD assessment respect to the former two approaches treated separately, and a new example of an accurate, feasible and cost-effective mean for the decentralized management of PD.<\/jats:p>","DOI":"10.3390\/s19214764","type":"journal-article","created":{"date-parts":[[2019,11,4]],"date-time":"2019-11-04T09:13:08Z","timestamp":1572858788000},"page":"4764","source":"Crossref","is-referenced-by-count":26,"title":["An Integrated Multi-Sensor Approach for the Remote Monitoring of Parkinson\u2019s Disease"],"prefix":"10.3390","volume":"19","author":[{"given":"Giovanni","family":"Albani","sequence":"first","affiliation":[{"name":"Istituto Auxologico Italiano, IRCCS, Department of Neurology and NeuroRehabilitation, S. Giuseppe Hospital, 28824 Piancavallo, Oggebbio (Verbania), Italy"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-5381-4794","authenticated-orcid":false,"given":"Claudia","family":"Ferraris","sequence":"additional","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"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-6728-2239","authenticated-orcid":false,"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":"Federico","family":"Parisi","sequence":"additional","affiliation":[{"name":"CNIT Research Unit of Parma and Department of Information Engineering, University of Parma, 43124 Parma, Italy"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-6688-0934","authenticated-orcid":false,"given":"Gianluigi","family":"Ferrari","sequence":"additional","affiliation":[{"name":"CNIT Research Unit of Parma and Department of Information Engineering, University of Parma, 43124 Parma, Italy"}]},{"given":"Nicola","family":"Cau","sequence":"additional","affiliation":[{"name":"Istituto Auxologico Italiano, IRCCS, Department of Neurology and NeuroRehabilitation, S. 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