{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T23:19:02Z","timestamp":1776381542575,"version":"3.51.2"},"reference-count":112,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2022,12,4]],"date-time":"2022-12-04T00:00:00Z","timestamp":1670112000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"ROP Piemonte (Italy)","award":["ERDF 2014\u20132020"],"award-info":[{"award-number":["ERDF 2014\u20132020"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The progressive aging of the population and the consequent growth of individuals with neurological diseases and related chronic disabilities, will lead to a general increase in the costs and resources needed to ensure treatment and care services. In this scenario, telemedicine and e-health solutions, including remote monitoring and rehabilitation, are attracting increasing interest as tools to ensure the sustainability of the healthcare system or, at least, to support the burden for health care facilities. Technological advances in recent decades have fostered the development of dedicated and innovative Information and Communication Technology (ICT) based solutions, with the aim of complementing traditional care and treatment services through telemedicine applications that support new patient and disease management strategies. This is the background for the REHOME project, whose technological solution, presented in this paper, integrates innovative methodologies and devices for remote monitoring and rehabilitation of cognitive, motor, and sleep disorders associated with neurological diseases. One of the primary goals of the project is to meet the needs of patients and clinicians, by ensuring continuity of treatment from healthcare facilities to the patient\u2019s home. To this end, it is important to ensure the usability of the solution by elderly and pathological individuals. Preliminary results of usability and user experience questionnaires on 70 subjects recruited in three experimental trials are presented here.<\/jats:p>","DOI":"10.3390\/s22239467","type":"journal-article","created":{"date-parts":[[2022,12,5]],"date-time":"2022-12-05T08:10:57Z","timestamp":1670227857000},"page":"9467","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Usability of the REHOME Solution for the Telerehabilitation in Neurological Diseases: Preliminary Results on Motor and Cognitive Platforms"],"prefix":"10.3390","volume":"22","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, 10129 Turin, Italy"}]},{"given":"Irene","family":"Ronga","sequence":"additional","affiliation":[{"name":"BraIn Plasticity and Behaviour Changes Research Group, Department of Psychology, University of Turin, 10124 Turin, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5529-3491","authenticated-orcid":false,"given":"Roberto","family":"Pratola","sequence":"additional","affiliation":[{"name":"Engineering Ingegneria Informatica S.p.A., 00144 Rome, Italy"}]},{"given":"Guido","family":"Coppo","sequence":"additional","affiliation":[{"name":"Synarea Consultants s.r.l., 10153 Turin, Italy"}]},{"given":"Tea","family":"Bosso","sequence":"additional","affiliation":[{"name":"BraIn Plasticity and Behaviour Changes Research Group, Department of Psychology, University of Turin, 10124 Turin, Italy"},{"name":"Geriatrics Unit, Citt\u00e0 della Salute e della Scienza Hospital, 10126 Turin, Italy"}]},{"given":"Sara","family":"Falco","sequence":"additional","affiliation":[{"name":"BraIn Plasticity and Behaviour Changes Research Group, Department of Psychology, University of Turin, 10124 Turin, Italy"},{"name":"Clinical Pyschology Unit, Citt\u00e0 della Salute e della Scienza Hospital, 10126 Turin, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4061-8211","authenticated-orcid":false,"given":"Gianluca","family":"Amprimo","sequence":"additional","affiliation":[{"name":"Institute of Electronics, Computer and Telecommunication Engineering, National Research Council, 10129 Turin, Italy"},{"name":"Department of Control and Computer Engineering, Politecnico di Torino, 10129 Turin, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0547-0143","authenticated-orcid":false,"given":"Giuseppe","family":"Pettiti","sequence":"additional","affiliation":[{"name":"Institute of Electronics, Computer and Telecommunication Engineering, National Research Council, 10129 Turin, Italy"}]},{"given":"Simone","family":"Lo Priore","sequence":"additional","affiliation":[{"name":"Synarea Consultants s.r.l., 10153 Turin, Italy"}]},{"given":"Lorenzo","family":"Priano","sequence":"additional","affiliation":[{"name":"Istituto Auxologico Italiano, IRCCS, Department of Neurology and Neurorehabilitation, S. Giuseppe Hospital, 20123 Milan, Italy"},{"name":"Department of Neurosciences, University of Turin, 10126 Turin, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9072-7454","authenticated-orcid":false,"given":"Alessandro","family":"Mauro","sequence":"additional","affiliation":[{"name":"Istituto Auxologico Italiano, IRCCS, Department of Neurology and Neurorehabilitation, S. Giuseppe Hospital, 20123 Milan, Italy"},{"name":"Department of Neurosciences, University of Turin, 10126 Turin, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1903-0707","authenticated-orcid":false,"given":"Debora","family":"Desideri","sequence":"additional","affiliation":[{"name":"Engineering Ingegneria Informatica S.p.A., 00144 Rome, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2022,12,4]]},"reference":[{"key":"ref_1","unstructured":"European Commission (2018). The 2018 Ageing Report. Economic & Budgetary Projections for the 28 EU Member States (2016\u20132070)."},{"key":"ref_2","unstructured":"World Health Organization (2015). World Report on Ageing and Health."},{"key":"ref_3","unstructured":"United Nations Department of Economic and Social Affairs, Population Division (2020). World Population Ageing 2020\u2014Highlights, United Nations."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1159\/000495813","article-title":"Ageing Population: A Neurological Challenge","volume":"52","author":"Yaffe","year":"2019","journal-title":"Neuroepidemiology"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Avan, A., Digaleh, H., Di Napoli, M., Stranges, S., Behrouz, R., Shojaeianbabaei, G., Amiri, A., Tabrizi, R., Mokhber, N., and Spence, J.D. (2019). Socioeconomic status and stroke incidence, prevalence, mortality, and worldwide burden: An ecological analysis from the Global Burden of Disease Study 2017. BMC Med., 17.","DOI":"10.1186\/s12916-019-1397-3"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1007\/s11325-019-01921-4","article-title":"Excessive daytime sleepiness and fatigue in neurological disorders","volume":"24","author":"Maestri","year":"2020","journal-title":"Sleep Breath."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"348","DOI":"10.1016\/S1474-4422(19)30415-6","article-title":"Advances and challenges in stroke rehabilitation","volume":"19","author":"Stinear","year":"2020","journal-title":"Lancet Neurol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"S60","DOI":"10.1016\/j.parkreldis.2015.09.005","article-title":"Rehabilitation for Parkinson\u2019s disease: Current outlook and future challenges","volume":"22","author":"Abbruzzese","year":"2016","journal-title":"Park. Relat. Disord."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"648","DOI":"10.3389\/fpsyg.2020.00648","article-title":"Technologies for Cognitive Training and Cognitive Reha-bilitation for People with Mild Cognitive Impairment and Dementia. A Systematic Review","volume":"11","author":"Irazoki","year":"2020","journal-title":"Front. Psychol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12911-021-01512-y","article-title":"OnTARi: An ontology for factors influencing therapy adherence to rehabilitation","volume":"21","author":"Steiner","year":"2021","journal-title":"BMC Med. Inform. Decis. Mak."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"335","DOI":"10.3389\/fpubh.2018.00335","article-title":"Editorial: Global Population Aging\u2014Health Care, Social and Economic Consequences","volume":"6","author":"Ogura","year":"2018","journal-title":"Front. Public Health"},{"key":"ref_12","first-page":"727","article-title":"Future of Healthcare Delivery: Strategies that will Reshape the Healthcare Industry Landscape","volume":"4","author":"Tabish","year":"2015","journal-title":"Int. J. Sci. Res."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Fares, N., Sherratt, R., and Elhajj, I. (2021). Directing and Orienting ICT Healthcare Solutions to Address the Needs of the Aging Population. Healthcare, 9.","DOI":"10.3390\/healthcare9020147"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1453","DOI":"10.1007\/s40520-020-01626-9","article-title":"ICT technologies as new promising tools for the managing of frailty: A systematic review","volume":"33","author":"Gallucci","year":"2020","journal-title":"Aging Clin. Exp. Res."},{"key":"ref_15","first-page":"1293","article-title":"Barriers and Motivators to Engage in Exercise for Persons with Parkinson\u2019s Disease","volume":"10","author":"Schootemeijer","year":"2020","journal-title":"J. Park. Dis."},{"key":"ref_16","unstructured":"Dodd, C., Rukshan, A., and Marc, A. (2017;, January 3\u20136). Designing user interfaces for the elderly: A systematic literature review. Proceedings of the 2017 28th Australian Conference on Information Systems (ACIS 2017), Hobart, Tasmania."},{"key":"ref_17","unstructured":"(2022, October 26). REHOME Project. Available online: https:\/\/progetto-rehome.it\/."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1017\/S0266462320000021","article-title":"Home-based telerehabilitation software systems for remote supervising: A systematic review","volume":"36","author":"Hosseiniravandi","year":"2020","journal-title":"Int. J. Technol. Assess. Health Care"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"e4910615489","DOI":"10.33448\/rsd-v10i6.15489","article-title":"Home-based relerehabilitation: A review of remote therapy frameworks. Research, Society, and Development","volume":"10","author":"Naves","year":"2021","journal-title":"Res. Soc. Dev."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"e7","DOI":"10.2196\/rehab.7511","article-title":"Telerehabilitation: Review of the State-of-the-Art and Areas of Application","volume":"4","author":"Peretti","year":"2017","journal-title":"JMIR Rehabil. Assist. Technol."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"e10867","DOI":"10.2196\/10867","article-title":"Telerehabilitation for Stroke Survivors: Systematic Review and Me-ta-Analysis","volume":"20","author":"Tchero","year":"2018","journal-title":"J. Med. Internet Res."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1177\/1357633X17740390","article-title":"Cognitive telerehabilitation in mild cognitive impairment, Alzheimer\u2019s disease and frontotemporal dementia: A systematic review","volume":"25","author":"Cotelli","year":"2019","journal-title":"J. Telemed. Telecare"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"121","DOI":"10.32598\/irj.19.2.1404.1","article-title":"Barriers and Challenges of Implementing Telerehabilitation: A Systematic Review","volume":"19","author":"Rabanifar","year":"2021","journal-title":"Iran. Rehabil. J."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Ferraris, C., Desideri, D., Sacco, K., Ronga, I., Coppo, G., Soprani, D., Barbagallo, J., Antinoro, S., Ariano, P., and Privitera, L. (July, January 30). Telerehabilitation of cognitive, motor and sleep disorders in neurological pathol-ogies: The REHOME project. Proceedings of the 2022 IEEE Symposium on Computers and Communications (ISCC), Rhodes Island, Greece.","DOI":"10.1109\/ISCC55528.2022.9912775"},{"key":"ref_25","unstructured":"Cockburn, A. (2001). Writing Effective Use Cases. Vol. 1, Addison-Wesley."},{"key":"ref_26","unstructured":"(2022, October 26). FHIR HL7 R4. Available online: https:\/\/www.hl7.org\/fhir\/."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Laigner, R., Kalinowski, M., Diniz, P., Barros, L., Cassino, C., Lemos, M., Arruda, D., Lifschitz, S., and Zhou, Y. (2020, January 26\u201328). From a monolithic big data system to a microservices event-driven architecture. Proceedings of the 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2020), Portoroz, Slovenia.","DOI":"10.1109\/SEAA51224.2020.00045"},{"key":"ref_28","unstructured":"(2022, October 26). Apache Kafka. Available online: https:\/\/kafka.apache.org\/."},{"key":"ref_29","unstructured":"(2022, October 26). FHIR CDS-HOOKS. Available online: https:\/\/cds-hooks.hl7.org\/."},{"key":"ref_30","unstructured":"(2022, October 26). FHIR CQL. Available online: https:\/\/cql.hl7.org\/."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.jbi.2013.12.002","article-title":"A flexible approach to distributed data anonimization","volume":"50","author":"Kohlmayer","year":"2014","journal-title":". Biomed. Inform."},{"key":"ref_32","unstructured":"Grace, P., Zigomitros, A., Papageorgiou, A., Patsakis, C., Casino, F., and Pocs, M. (2022, October 26). Guidelines for Data Anonymization Report. OPERANDO. Available online: http:\/\/www.operando.eu\/upload\/operando\/moduli\/D4.3Guidelinesfordataanonymizationreportv1.0_77_326.pdf."},{"key":"ref_33","unstructured":"(2022, October 26). Keycloak. Available online: https:\/\/www.keycloack.org."},{"key":"ref_34","unstructured":"(2022, October 26). ImmuDB. Available online: https:\/\/immudb.io."},{"key":"ref_35","unstructured":"(2022, October 07). Zipkin. Available online: https:\/\/zipkin.io."},{"key":"ref_36","unstructured":"(2022, October 07). Grafana. Available online: https:\/\/grafana.com\/."},{"key":"ref_37","unstructured":"(2022, October 07). Prometheus. Available online: https:\/\/prometheus.io."},{"key":"ref_38","unstructured":"(2022, October 07). Grafana Loki. Available online: https:\/\/grafana.com\/oss\/loki."},{"key":"ref_39","unstructured":"Kettner, F., Schmidt, K., and Gaedke, M. (2019, January 24\u201328). Motivation Enhancement in mHealth via Gamification. Proceedings of the 2019 4th International Conference on Informatics and Assistive Technologies for Healthcare, Medical Support and Wellbeing (Healthinfo 2019), Valencia, Spain."},{"key":"ref_40","first-page":"CD003260","article-title":"Cognitive rehabilitation and cognitive training for early-stage Alzheimer\u2019s disease and vascular dementia","volume":"4","author":"Clare","year":"2003","journal-title":"Cochrane Database Syst. Rev."},{"key":"ref_41","unstructured":"Iannizzi, P., Bergamaschi, S., Mondini, S., and Mapelli, D. (2015). Il Training Cognitivo Per le Demenze e le Cerebrolesioni Acquisite, Raffaello Cortina Editore."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1017\/S1355617706060310","article-title":"The case for the development and use of \u201cecologically valid\u201d measures of executive function in experimental and clinical neuropsychology","volume":"12","author":"Burgess","year":"2006","journal-title":"Int. Neuropsychol. Soc."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Angelini, M., Calbi, M., Ferrari, A., Sbriscia-Fioretti, B., Franca, M., Gallese, V., and Umilta, M.A. (2015). Motor Inhibition during Overt and Covert Actions: An Electrical Neuroimaging Study. PLoS ONE, 10.","DOI":"10.1371\/journal.pone.0126800"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.ijpsycho.2016.07.002","article-title":"N2 and P3 modulation during partial inhibition in a modified go\/nogo task","volume":"107","author":"Nguyen","year":"2016","journal-title":"Int. J. Psychophysiol."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1473","DOI":"10.1162\/jocn_a_01080","article-title":"Cognitive Training in the Elderly: Bottlenecks and New Avenues","volume":"29","author":"Zokaei","year":"2017","journal-title":"J. Cogn. Neurosci."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"693968","DOI":"10.3389\/fnhum.2022.693968","article-title":"A Virtual Navigation Training Promotes the Remapping of Space in Allocentric Coordinates: Evidence from Behavioral and Neuroimaging Data","volume":"16","author":"Sacco","year":"2022","journal-title":"Front. Hum. Neurosci."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"eaat6766","DOI":"10.1126\/science.aat6766","article-title":"Navigating cognition: Spatial codes for human thinking","volume":"362","author":"Bellmund","year":"2018","journal-title":"Science"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1038\/nn988","article-title":"Routes to remembering: The brains behind superior memory","volume":"6","author":"Maguire","year":"2003","journal-title":"Nat. Neurosci."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1213","DOI":"10.3758\/s13423-019-01605-w","article-title":"Virtual reality in episodic memory research: A review","volume":"26","author":"Smith","year":"2019","journal-title":"Psychon. Bull. Rev."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1186\/1743-0003-8-6","article-title":"The transfer from survey (map-like) to route representations into Virtual Reality Mazes: Effect of age and cerebral lesion","volume":"8","author":"Carelli","year":"2011","journal-title":"J. Neuroeng. Rehabil."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"545","DOI":"10.1007\/s00426-010-0276-5","article-title":"Route and survey processing of topographical memory during navigation","volume":"74","author":"Nesa","year":"2010","journal-title":"Psychol. Res."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"2129","DOI":"10.1002\/mds.22340","article-title":"Movement Disorder Society-sponsored revision of the Unified Parkinson\u2019s Disease Rating Scale (MDS-UPDRS): Scale presentation and clinimetric testing results","volume":"23","author":"Goetz","year":"2008","journal-title":"Mov. Disord."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"288","DOI":"10.3109\/09638288.2011.606343","article-title":"Measurement properties of the Motor Evaluation Scale for Upper Extremity in Stroke patients (MESUPES)","volume":"34","author":"Johansson","year":"2012","journal-title":"Disabil. Rehabil."},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Mileti, I., Zampogna, A., Santuz, A., Asci, F., Del Prete, Z., Arampatzis, A., Palermo, E., and Suppa, A. (2020). Muscle Synergies in Parkinson\u2019s Disease. Sensors, 20.","DOI":"10.3390\/s20113209"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1036","DOI":"10.3389\/fneur.2018.01036","article-title":"Monitoring Motor Symptoms During Activities of Daily Living in Individuals with Parkinson\u2019s Disease","volume":"9","author":"Thorp","year":"2018","journal-title":"Front. Neurol."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1186\/s12984-016-0172-3","article-title":"Proportional estimation of finger movements from high-density surface electromyography","volume":"13","author":"Celadon","year":"2016","journal-title":"J. Neuroeng. Rehabil."},{"key":"ref_57","unstructured":"(2022, October 26). Microsoft Azure. Available online: https:\/\/azure.microsoft.com\/it-it\/services\/kinect-dk\/."},{"key":"ref_58","unstructured":"Liu, Z. (2022, October 07). 3D Skeletal Tracking on Azure Kinect. Available online: https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2020\/01\/AKBTSDK.pdf."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1007\/978-3-030-79763-8_43","article-title":"RGB-D Sensors as Marker-Less MOCAP Systems: A Comparison Between Microsoft Kinect V2 and the New Microsoft Kinect Azure. 2021","volume":"Volume 264","author":"Wright","year":"2021","journal-title":"Advances in Simulation and Digital Human Modeling"},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Albert, J.A., Owolabi, V., Gebel, A., Brahms, C.M., Granacher, U., and Arnrich, B. (2020). Evaluation of the Pose Tracking Performance of the Azure Kinect and Kinect v2 for Gait Analysis in Comparison with a Gold Standard: A Pilot Study. Sensors, 20.","DOI":"10.3390\/s20185104"},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Romeo, L., Marani, R., Malosio, M., Perri, A.G., and D\u2019Orazio, T. (2021, January 22\u201325). Performance Analysis of Body Tracking with the Microsoft Azure Kinect. Proceedings of the 2021 29th Mediterranean Conference on Control and Automation (MED), Puglia, Italy.","DOI":"10.1109\/MED51440.2021.9480177"},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"413","DOI":"10.3390\/s21020413","article-title":"Evaluation of the Azure Kinect and Its Comparison to Kinect V1 and Kinect V2","volume":"21","author":"Dekan","year":"2021","journal-title":"Sensors"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.gaitpost.2021.04.005","article-title":"Effects of camera viewing angles on tracking kinematic gait patterns using Azure Kinect, Kinect v2 and Orbbec Astra Pro v2","volume":"87","author":"Yeung","year":"2021","journal-title":"Gait Posture"},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"T\u00f6lgyessy, M., Dekan, M., and Chovanec, L. (2021). Skeleton Tracking Accuracy and Precision Evaluation of Kinect V1, Kinect V2, and the Azure Kinect. Appl. Sci., 11.","DOI":"10.3390\/app11125756"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/j.gaitpost.2018.11.029","article-title":"Three-dimensional cameras and skeleton pose tracking for physical function assessment: A review of uses, validity, current developments and Kinect alternatives","volume":"68","author":"Clark","year":"2019","journal-title":"Gait Posture"},{"key":"ref_66","doi-asserted-by":"crossref","unstructured":"Ferraris, C., Nerino, R., Chimienti, A., Pettiti, G., Cau, N., Cimolin, V., Azzaro, C., Albani, G., Priano, L., and Mauro, A. (2018). A Self-Managed System for Automated Assessment of UPDRS Upper Limb Tasks in Parkinson\u2019s Disease. Sensors, 18.","DOI":"10.3390\/s18103523"},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Ferraris, C., Nerino, R., Chimienti, A., Pettiti, G., Cau, N., Cimolin, V., Azzaro, C., Priano, L., and Mauro, A. (2019). Feasibility of Home-Based Automated Assessment of Postural Insta-bility and Lower Limb Impairments in Parkinson\u2019s Disease. Sensors, 19.","DOI":"10.3390\/s19051129"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1186\/s12938-015-0092-7","article-title":"Motion tracking and gait feature estimation for recognising Parkinson\u2019s disease using MS Kinect","volume":"14","year":"2015","journal-title":"Biomed. Eng. Online"},{"key":"ref_69","doi-asserted-by":"crossref","unstructured":"Cimolin, V., Vismara, L., Ferraris, C., Amprimo, G., Pettiti, G., Lopez, R., Galli, M., Cremascoli, R., Sinagra, S., and Mauro, A. (2022). Computation of Gait Parameters in Post Stroke and Parkinson\u2019s Disease: A Comparative Study Using RGB-D Sensors and Optoelectronic Systems. Sensors, 22.","DOI":"10.3390\/s22030824"},{"key":"ref_70","first-page":"563","article-title":"Objective Arm Swing Analysis in Early-Stage Parkinson\u2019s Disease Using an RGB-D Camera (Kinect\u00ae)1","volume":"8","author":"Ospina","year":"2018","journal-title":"J. Park. Dis."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"421","DOI":"10.1016\/j.gaitpost.2017.09.010","article-title":"Kinect-based assessment of lower limb kinematics and dynamic postural control during the star excursion balance test","volume":"58","author":"Eltoukhy","year":"2017","journal-title":"Gait Posture"},{"key":"ref_72","doi-asserted-by":"crossref","unstructured":"Ayed, I., Jaume-I-Cap\u00f3, A., Mart\u00ednez-Bueso, P., Mir, A., and Moy\u00e0-Alcover, G. (2021). Balance Measurement Using Microsoft Kinect v2: Towards Remote Evaluation of Patient with the Functional Reach Test. Appl. Sci., 11.","DOI":"10.3390\/app11136073"},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Ferraris, C., Amprimo, G., Masi, G., Vismara, L., Cremascoli, R., Sinagra, S., Pettiti, G., Mauro, A., and Priano, L. (2022). Evaluation of Arm Swing Features and Asymmetry during Gait in Parkinson\u2019s Disease Using the Azure Kinect Sensor. Sensors, 22.","DOI":"10.3390\/s22166282"},{"key":"ref_74","unstructured":"Ma, Y., Sheng, B., Hart, R., and Zhang, Y. (2020, January 7\u201310). The validity of a dual Azure Kinect-based motion capture system for gait analysis: A preliminary study. Proceedings of the 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Auckland, New Zealand."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"106324","DOI":"10.1016\/j.cmpb.2021.106324","article-title":"Postural control assessment via Microsoft Azure Kinect DK: An evaluation study","volume":"209","author":"Antico","year":"2021","journal-title":"Comput. Methods Programs Biomed."},{"key":"ref_76","unstructured":"Amprimo, G., Pettiti, G., Priano, L., Mauro, A., and Ferraris, C. (2021, January 29). Kinect-based Solution for the Home Monitoring of Gait and Balance in Elderly People with and without Neurological Diseases. Proceedings of the 2021 2nd Italian Workshop on Artificial Intelligence for an Ageing Society (AI*IA 2021), Online. Available online: http:\/\/ceur-ws.org\/Vol-3108\/paper6.pdf."},{"key":"ref_77","unstructured":"Lugaresi, C., Tang, J., Nash, H., McClanahan, C., Uboweja, E., Hays, M., Zhang, F., Chang, C., Yong, M.G., and Lee, J. (2019). MediaPipe: A framework for building perception pipelines. arXiv."},{"key":"ref_78","unstructured":"Zhang, F., Bazarevsky, V., Vakunov, A., Tkachenka, A., Sung, G., Chang, C.L., and Grundmann, M. (2020). Mediapipe hands: On-device real-time hand tracking. arXiv."},{"key":"ref_79","doi-asserted-by":"crossref","unstructured":"Amprimo, G., Ferraris, C., Masi, G., Pettiti, G., and Priano, L. (2022, January 10\u201316). GMH-D: Combining Google MediaPipe and RGB-Depth Cameras for Hand Motor Skills Remote Assessment. Proceedings of the 2022 IEEE International Conference on Digital Health (ICDH), Barcelona, Spain.","DOI":"10.1109\/ICDH55609.2022.00029"},{"key":"ref_80","unstructured":"Technologies, U. (2022, October 26). Unity Real-Time Development Platform|3D, 2D VR & AR Visualizations. Available online: https:\/\/unity.com\/."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1080\/08990220.2018.1444599","article-title":"Effects of Kinect-based virtual reality game training on upper extremity motor recovery in chronic stroke","volume":"35","author":"Atar","year":"2018","journal-title":"Somat. Mot. Res."},{"key":"ref_82","doi-asserted-by":"crossref","unstructured":"Lei, C., Sunzi, K., Dai, F., Liu, X., Wang, Y., Zhang, B., Le, H., and Ju, M. (2019). Effects of virtual reality rehabilitation training on gait and balance in patients with Parkinson\u2019s disease: A systematic review. PLoS ONE, 14.","DOI":"10.1371\/journal.pone.0224819"},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1089\/g4h.2016.0109","article-title":"The Effect of a Virtual Reality Game Intervention on Balance for Patients with Stroke: A Ran-domized Controlled Trial","volume":"6","author":"Lee","year":"2017","journal-title":"Games Health J."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1038\/s41582-020-0370-2","article-title":"Virtual reality in research and rehabilitation of gait and balance in Parkinson disease","volume":"16","author":"Canning","year":"2020","journal-title":"Nat. Rev. Neurol."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"2618271","DOI":"10.1155\/2018\/2618271","article-title":"Kinect-Based Exergames Tailored to Par-kinson Patients","volume":"2018","author":"Pachoulakis","year":"2018","journal-title":"Int. J. Comput. Games Technol."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"849","DOI":"10.1007\/s42600-021-00162-3","article-title":"A systematic review of serious games used for rehabilitation of individuals with Parkinson\u2019s disease","volume":"37","author":"Mendes","year":"2021","journal-title":"Res. Biomed. Eng."},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1186\/s12984-019-0492-1","article-title":"Recent advances in rehabilitation for Parkinson\u2019s Disease with Exergames: A Systematic Review","volume":"16","author":"Folkerts","year":"2019","journal-title":"J. Neuroeng. Rehabil."},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1186\/s40814-017-0210-3","article-title":"Effects of virtual rehabilitation versus conventional physical therapy on postural control, gait, and cognition of patients with Parkinson\u2019s disease: Study protocol for a randomized controlled feasibility trial","volume":"3","author":"Silva","year":"2017","journal-title":"Pilot Feasibility Stud."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1186\/1743-0003-11-33","article-title":"The role of exergaming in Parkinson\u2019s disease rehabilitation: A systematic review of the evidence","volume":"11","author":"Barry","year":"2014","journal-title":"J. Neuroeng. Rehabil."},{"key":"ref_90","doi-asserted-by":"crossref","unstructured":"Chiuchisan, I., Geman, O., and Postolache, O. (2018, January 18\u201319). Future Trends in Exergaming using MS Kinect for Medical Rehabilitation. Proceedings of the 2018 International Conference and Exposition on Electrical and Power Engineering (EPE 2018), Iasi, Romania.","DOI":"10.1109\/ICEPE.2018.8559924"},{"key":"ref_91","doi-asserted-by":"crossref","unstructured":"Fallmann, S., and Chen, L. (2018, January 10\u201312). Detecting chronic diseases from sleep-wake behaviour and clinical features. Proceedings of the 2018 5th International Conference on System and Informatics (ICSAI 2018), Nanjing, China.","DOI":"10.1109\/ICSAI.2018.8599388"},{"key":"ref_92","first-page":"875371","article-title":"Sleep Monitoring System Using Kinect Sensor","volume":"11","author":"Lee","year":"2015","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"24527","DOI":"10.1109\/ACCESS.2019.2900345","article-title":"A Review of Approaches for Sleep Quality Analysis","volume":"7","author":"Mendonca","year":"2019","journal-title":"IEEE Access"},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.cmpb.2019.04.032","article-title":"A review of automated sleep stage scoring based on physiological signals for the new millennia","volume":"176","author":"Faust","year":"2019","journal-title":"Comput. Methods Programs Biomed."},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1186\/s40537-020-00406-6","article-title":"Sleep stage classification using extreme learning machine and particle swarm optimi-zation for healthcare big data","volume":"8","author":"Surantha","year":"2021","journal-title":"J. Big Data"},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"809","DOI":"10.1109\/TNSRE.2021.3076234","article-title":"An Attention-Based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG","volume":"29","author":"Eldele","year":"2021","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"213574","DOI":"10.1109\/ACCESS.2020.3040437","article-title":"HealthSOS: Real-Time Health Monitoring System for Stroke Prognostics","volume":"8","author":"Hussain","year":"2020","journal-title":"IEEE Access"},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"123146","DOI":"10.1109\/ACCESS.2021.3109806","article-title":"Big-ECG: Cardiographic Predictive Cyber-Physical System for Stroke Management","volume":"9","author":"Hussain","year":"2021","journal-title":"IEEE Access"},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/j.ijmedinf.2019.03.018","article-title":"Methods of usability testing in the development of eHealth applications: A scoping review","volume":"126","author":"Maramba","year":"2019","journal-title":"Int. J. Med. Inform."},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1080\/10447318.2018.1455307","article-title":"The System Usability Scale: Past, Present, and Future","volume":"34","author":"Lewis","year":"2018","journal-title":"Int. J. Hum. Comput. Interact."},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"723","DOI":"10.1016\/j.neubiorev.2020.09.004","article-title":"\u201cStopping for knowledge\u201d: The sense of beauty in the perception-action cycle","volume":"118","author":"Sarasso","year":"2020","journal-title":"Neurosci. Biobehav. Rev."},{"key":"ref_102","doi-asserted-by":"crossref","unstructured":"Amprimo, G., Masi, G., Priano, L., Azzaro, C., Galli, F., Pettiti, G., Mauro, A., and Ferraris, C. (2022). Assessment Tasks and Virtual Ex-ergames for Remote Monitoring of Parkinson\u2019s Disease: An Integrated Approach Based on Azure Kinect. Sensors, 22.","DOI":"10.20944\/preprints202209.0422.v1"},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"1433","DOI":"10.1037\/xge0001149","article-title":"Nice and Easy: Mismatch Negativity Responses Reveal a Significant Correlation Between Aesthetic Appreciation and Perceptual Learning","volume":"151","author":"Sarasso","year":"2022","journal-title":"J. Exp. Psychol. Gen."},{"key":"ref_104","doi-asserted-by":"crossref","first-page":"882","DOI":"10.3389\/fnins.2020.00882","article-title":"Effects of gamification in BCI functional rehabilitation","volume":"14","author":"Opisso","year":"2020","journal-title":"Front. Neurosci."},{"key":"ref_105","doi-asserted-by":"crossref","first-page":"611639","DOI":"10.3389\/fpsyg.2021.611639","article-title":"The Role of Musical Aesthetic Emotions in Social Adaptation to the COVID-19 Pandemic","volume":"12","author":"Sarasso","year":"2021","journal-title":"Front. Psychol."},{"key":"ref_106","doi-asserted-by":"crossref","first-page":"1623","DOI":"10.3758\/s13423-021-01922-z","article-title":"Memorisation and implicit perceptual learning are enhanced for preferred musical intervals and chords","volume":"28","author":"Sarasso","year":"2021","journal-title":"Psychon. Bull. Rev."},{"key":"ref_107","doi-asserted-by":"crossref","first-page":"1623","DOI":"10.3758\/s13423-021-01922-z","article-title":"Preferred music listening is associated with perceptual learning enhancement at the expense of self-focused attention","volume":"28","author":"Sarasso","year":"2022","journal-title":"Psychon. Bull. Rev."},{"key":"ref_108","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1089\/g4h.2014.0047","article-title":"Motor Rehabilitation Using Kinect: A Systematic Review","volume":"4","author":"Fallavollita","year":"2015","journal-title":"Games Health J."},{"key":"ref_109","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1007\/s10916-015-0289-0","article-title":"A Kinect-Based System for Lower Limb Rehabilitation in Par-kinson\u2019s Disease Patients: A Pilot Study","volume":"39","year":"2015","journal-title":"J. Med. Syst."},{"key":"ref_110","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1186\/s12984-016-0185-y","article-title":"Effects of a balance-based exergaming intervention using the Kinect sensor on posture stability in individuals with Parkinson\u2019s disease: A single-blinded randomized controlled trial","volume":"13","author":"Shih","year":"2016","journal-title":"J. Neuroeng. Rehabil."},{"key":"ref_111","doi-asserted-by":"crossref","first-page":"e1807","DOI":"10.1002\/pri.1807","article-title":"Cognitive and motor effects of Kinect-based games training in people with and without Parkinson disease: A preliminary study","volume":"25","author":"Leal","year":"2020","journal-title":"Physiother. Res. Int."},{"key":"ref_112","first-page":"331","article-title":"Design and Evaluation of an Exergame System of Knee with the Azure Kinect","volume":"Volume 1452","author":"Zeng","year":"2021","journal-title":"Data Science ICPCSEE 2021. Communications in Computer and Information Science"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/23\/9467\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:33:42Z","timestamp":1760146422000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/22\/23\/9467"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,4]]},"references-count":112,"journal-issue":{"issue":"23","published-online":{"date-parts":[[2022,12]]}},"alternative-id":["s22239467"],"URL":"https:\/\/doi.org\/10.3390\/s22239467","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,4]]}}}