Please use this identifier to cite or link to this item: https://hdl.handle.net/11000/6502
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dc.contributor.authorOrtiz, Mario-
dc.contributor.authorFerrero, Laura-
dc.contributor.authorIáñez Martínez, Eduardo-
dc.contributor.authorAzorín Poveda, José María-
dc.contributor.authorContreras Vidal, José Luis-
dc.contributor.otherDepartamentos de la UMH::Ingeniería de Sistemas y Automáticaes
dc.date.accessioned2020-10-15T07:28:11Z-
dc.date.available2020-10-15T07:28:11Z-
dc.date.created2020-06-10-
dc.date.issued2020-10-15-
dc.identifier.issn2296-4185-
dc.identifier.urihttp://hdl.handle.net/11000/6502-
dc.description.abstractBrain-machine interfaces (BMIs) can improve the control of assistance mobility devices making its use more intuitive and natural. In the case of an exoskeleton, they can also help rehabilitation therapies due to the reinforcement of neuro-plasticity through repetitive motor actions and cognitive engagement of the subject. Therefore, the cognitive implication of the user is a key aspect in BMI applications, and it is important to assure that the mental task correlates with the actual motor action. However, the process of walking is usually an autonomous mental task that requires a minimal conscious effort. Consequently, a brain-machine interface focused on the attention to gait could facilitate sensory integration in individuals with neurological impairment through the analysis of voluntary gait will and its repetitive use. This way the combined use of BMI+exoskeleton turns from assistance to restoration. This paper presents a new brain-machine interface based on the decoding of gamma band activity and attention level during motor imagery mental tasks. This work also shows a case study tested in able-bodied subjects prior to a future clinical study, demonstrating that a BMI based on gamma band and attention-level paradigm allows real-time closed-loop control of a Rex exoskeleton.es
dc.description.sponsorshipThis research was funded by the Spanish Ministry of Science and Innovation through grant CAS18/00048 José Castillejo-
dc.description.sponsorshipBy the Spanish Ministry of Science and Innovation, the Spanish State Agency of Research, and the European Union through the European Regional Development Fund in the framework of the project Walk–Controlling lower-limb exoskeletons by means of brain-machine interfaces to assist people with walking disabilities (RTI2018-096677-B-I00);-
dc.description.sponsorshipby theConsellería de Innovación, Universidades, Ciencia y Sociedad Digital (Generalitat Valenciana),-
dc.description.sponsorshipthe European Social Fund in the framework of the project Desarrollo de nuevas interfaces cerebro-máquina para la rehabilitación de miembro inferior (GV/2019/009).-
dc.description.sponsorshipAuthors would like to thank especially Kevin Nathan and the rest of the laboratory of JC-V for their help during the experimental trials, and Atilla Kilicarslan for his help with the implementation of H1 algorithm-
dc.formatapplication/pdfes
dc.format.extent16es
dc.language.isoenges
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.subjectbrain-machine interfacees
dc.subjectEEGes
dc.subjectgamma bandes
dc.subjectlower-limb exoskeletones
dc.subjectmotor imageryes
dc.subjecthuman movementes
dc.subjectsensory integrationes
dc.subjectStockwell Transformes
dc.subject.other62 - Ingeniería. Tecnologíaes
dc.titleSensory Integration in Human Movement: A New Brain-Machine Interface Based on Gamma Band and Attention Level for Controlling a Lower-Limb Exoskeletones
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.3389/fbioe.2020.00735-
dc.relation.publisherversionhttp://dx.doi.org/10.3389/fbioe.2020.00735-
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Artículos Ingeniería de Sistemas y Automática


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