{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T08:05:43Z","timestamp":1770883543698,"version":"3.50.1"},"reference-count":98,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2022,1,21]],"date-time":"2022-01-21T00:00:00Z","timestamp":1642723200000},"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>The accurate and reliable assessment of gait parameters is assuming an important role, especially in the perspective of designing new therapeutic and rehabilitation strategies for the remote follow-up of people affected by disabling neurological diseases, including Parkinson\u2019s disease and post-stroke injuries, in particular considering how gait represents a fundamental motor activity for the autonomy, domestic or otherwise, and the health of neurological patients. To this end, the study presents an easy-to-use and non-invasive solution, based on a single RGB-D sensor, to estimate specific features of gait patterns on a reduced walking path compatible with the available spaces in domestic settings. Traditional spatio-temporal parameters and features linked to dynamic instability during walking are estimated on a cohort of ten parkinsonian and eleven post-stroke subjects using a custom-written software that works on the result of a body-tracking algorithm. Then, they are compared with the \u201cgold standard\u201d 3D instrumented gait analysis system. The statistical analysis confirms no statistical difference between the two systems. Data also indicate that the RGB-D system is able to estimate features of gait patterns in pathological individuals and differences between them in line with other studies. Although they are preliminary, the results suggest that this solution could be clinically helpful in evolutionary disease monitoring, especially in domestic and unsupervised environments where traditional gait analysis is not usable.<\/jats:p>","DOI":"10.3390\/s22030824","type":"journal-article","created":{"date-parts":[[2022,1,23]],"date-time":"2022-01-23T20:36:27Z","timestamp":1642970187000},"page":"824","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":40,"title":["Computation of Gait Parameters in Post Stroke and Parkinson\u2019s Disease: A Comparative Study Using RGB-D Sensors and Optoelectronic Systems"],"prefix":"10.3390","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6299-7254","authenticated-orcid":false,"given":"Veronica","family":"Cimolin","sequence":"first","affiliation":[{"name":"Department of Electronics, Information and Bioengineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9034-7101","authenticated-orcid":false,"given":"Luca","family":"Vismara","sequence":"additional","affiliation":[{"name":"Istituto Auxologico Italiano, IRCCS, Department of Neurology and Neurorehabilitation, S. Giuseppe Hospital, 28824 Piancavallo, Italy"},{"name":"Department of Neurosciences, University of Turin, Via Cherasco 15, 10100 Torino, Italy"}]},{"ORCID":"https:\/\/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"}]},{"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, Corso Duca degli Abruzzi 24, 10129 Torino, Italy"},{"name":"Department of Control and Computer Engineering, Politecnico di Torino, 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"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9890-626X","authenticated-orcid":false,"given":"Roberto","family":"Lopez","sequence":"additional","affiliation":[{"name":"Department of Electronics, Information and Bioengineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy"},{"name":"Department of Electrical Engineering, Universidad de Concepci\u00f3n, V\u00edctor Lamas 1290, Concepci\u00f3n 4030000, Chile"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2772-4837","authenticated-orcid":false,"given":"Manuela","family":"Galli","sequence":"additional","affiliation":[{"name":"Department of Electronics, Information and Bioengineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy"}]},{"given":"Riccardo","family":"Cremascoli","sequence":"additional","affiliation":[{"name":"Istituto Auxologico Italiano, IRCCS, Department of Neurology and Neurorehabilitation, S. Giuseppe Hospital, 28824 Piancavallo, Italy"},{"name":"Department of Neurosciences, University of Turin, Via Cherasco 15, 10100 Torino, Italy"}]},{"given":"Serena","family":"Sinagra","sequence":"additional","affiliation":[{"name":"Istituto Auxologico Italiano, IRCCS, Department of Neurology and Neurorehabilitation, S. Giuseppe Hospital, 28824 Piancavallo, Italy"}]},{"given":"Alessandro","family":"Mauro","sequence":"additional","affiliation":[{"name":"Istituto Auxologico Italiano, IRCCS, Department of Neurology and Neurorehabilitation, S. Giuseppe Hospital, 28824 Piancavallo, Italy"},{"name":"Department of Neurosciences, University of Turin, Via Cherasco 15, 10100 Torino, Italy"}]},{"given":"Lorenzo","family":"Priano","sequence":"additional","affiliation":[{"name":"Istituto Auxologico Italiano, IRCCS, Department of Neurology and Neurorehabilitation, S. Giuseppe Hospital, 28824 Piancavallo, Italy"},{"name":"Department of Neurosciences, University of Turin, Via Cherasco 15, 10100 Torino, Italy"}]}],"member":"1968","published-online":{"date-parts":[[2022,1,21]]},"reference":[{"key":"ref_1","unstructured":"Patrick, L. (2015). Ageing: Debate the Issues, OECD Publishing. OECD Insights."},{"key":"ref_2","unstructured":"World Health Organization (2006). Neurological Disorders: Public Health Challenges, World Health Organization. Available online: https:\/\/apps.who.int\/iris\/handle\/10665\/43605."},{"key":"ref_3","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. 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