dc.contributor.author | Dranca, Lacramioara | |
dc.contributor.author | Lopez de Abetxuko Ruiz de Mendarozketa, Alfredo Goñi | |
dc.contributor.author | Illarramendi Echave, María Aránzazu | |
dc.contributor.author | Navalpotro Gomez, Irene | |
dc.contributor.author | Delgado Alvarado, Manuel | |
dc.date.accessioned | 2019-01-14T09:33:13Z | |
dc.date.available | 2019-01-14T09:33:13Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Dranca, L., de Abetxuko Ruiz de Mendarozketa, L., Goñi, A., Illarramendi, A., Navalpotro Gomez, I., Manuel Delgado-Alvarado, M., & Rodríguez-Oroz, M.C. (2018). Using Kinect to classify Parkinson’s disease stages related to severity of gait impairment. BMC Bioinformatics, 19: 471. Doi.:10.1186/s12859-018-2488-4 | es_ES |
dc.identifier.issn | 1471-2105 | |
dc.identifier.uri | http://hdl.handle.net/10810/30783 | |
dc.description | Published: 10 December 2018 | es_ES |
dc.description.abstract | Parkinson’s Disease (PD) is a chronic neurodegenerative disease associated with motor problems such as gait impairment. Different systems based on 3D cameras, accelerometers or gyroscopes have been used in related works in order to study gait disturbances in PD. Kinect Ⓡ has also been used to build these kinds of systems, but contradictory results have been reported: some works conclude that Kinect does not provide an accurate method of measuring gait kinematics variables, but others, on the contrary, report good accuracy results. | es_ES |
dc.description.sponsorship | This research work was funded by the Spanish Ministry of Economy and Competitiveness (grant FEDER/TIN2016-78011-C4-2-R). The funding bodies had no role in the design or conclusions of this study. | es_ES |
dc.language.iso | eng | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/FEDER/TIN2016-78011-C4-2-R | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.subject | Kinect | es_ES |
dc.subject | Classification methods | es_ES |
dc.subject | Bayesian networks | es_ES |
dc.subject | Parkinson disease | es_ES |
dc.subject | Gait | es_ES |
dc.title | Using Kinect to classify Parkinson’s disease stages related to severity of gait impairment | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | © The Author(s) 2018 | es_ES |
dc.relation.publisherversion | https://bmcbioinformatics.biomedcentral.com/ | es_ES |
dc.identifier.doi | 10.1186/s12859-018-2488-4 | |