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dc.contributor.authorOvalle, C.
dc.contributor.authorCordova-Buiza, F.
dc.contributor.authorLinares, O.
dc.contributor.authorAuccahuasi, A.
dc.contributor.authorEchevarría, M.R.
dc.contributor.authorMeza, S.
dc.contributor.authorUrbano, K.
dc.contributor.authorLoza, A.B.
dc.contributor.authorRevilla, J.F.
dc.contributor.authorBernardo, G.
dc.date.accessioned2025-10-31T18:32:24Z
dc.date.available2025-10-31T18:32:24Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/20.500.12805/4626
dc.description.abstractRecovery of movement is a long and hard process for patients. One of the most common problems that occurs is the so-called "phantom limb", which induces the body to feel strange due to the failure to use the injured limb. This process is due to the lack of use of the leg that in most cases is fractured and the long recovery time, so the use of crutches makes the body in conjunction with the brain understand that normal movement of the body is with the leg suspended and always with the help of crutches. In the present work a technique for the retraining of the brain is presented by means of which the brain is taught through the presentation of images if it corresponds to the right and left side of the arms and legs. This retraining makes it possible for the brain to understand the coordinated movement between the arms and legs. In addition to the use of virtual reality, through the OCULUS GEST II lenses, allowing maximum concentration, the results allow to improve the recovery time of patients, the technique can be used both in rehabilitation centers and in the patient's own home patient.en_US
dc.formatapplication/pdf
dc.language.isoeng
dc.publisherInstitute of Physics
dc.relation.ispartofurn:issn:1742-6596
dc.rightshttps://purl.org/coar/access_right/c_abf2
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subjectBrain-Computer Interface Technologiesen_US
dc.subjectBiometric Identification Using EEG Signalsen_US
dc.titleMethodology for muscle recovery, through motor imagery techniques applying virtual realityen_US
dc.typehttps://purl.org/coar/resource_type/c_5794
dc.identifier.doihttps://doi.org/10.1088/1742-6596/2318/1/012044
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#3.01.08
dc.type.otherConference Paper
dc.identifier.journalJournal of Physics: Conference Series
dc.type.versionhttps://purl.org/coar/version/c_970fb48d4fbd8a85


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