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Estado del Arte en Neurotecnologías para la Asistencia y la Rehabilitación en España: Tecnologías Fundamentales

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Estado del Arte en Neurotecnologías para la Asistencia y la Rehabilitación en España: Tecnologías Fundamentales

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dc.contributor.author Barrios, Luis J. es_ES
dc.contributor.author Hornero, Roberto es_ES
dc.contributor.author Pérez-Turiel, Javier es_ES
dc.contributor.author Pons, José L. es_ES
dc.contributor.author Vidal, Joan es_ES
dc.contributor.author Azorín, José M. es_ES
dc.coverage.spatial east=-3.74922; north=40.46366700000001; name=Espanya es_ES
dc.date.accessioned 2020-05-14T18:25:58Z
dc.date.available 2020-05-14T18:25:58Z
dc.date.issued 2017-11-08
dc.identifier.issn 1697-7912
dc.identifier.uri http://hdl.handle.net/10251/143301
dc.description.abstract [EN] Neurotechnologies are those technologies aimed to study the nervous system, or to improve its function. These technologies expand the range of treatments for rehabilitating damaged functions and provide new healthcare solutions for the functions that have been lost. This paper reviews the rehabilitation and assistance neurotechnologies, mainly for motor disorders, it introduces a taxonomy that facilitates the systematic review, and it shows recent progresses made in Spain in the investigation, development, and application of their fundamental technologies. es_ES
dc.description.abstract [ES] Las neurotecnologías son aquellas tecnologías dirigidas al estudio del sistema nervioso o a mejorar su función. Estas tecnologías permiten extender el rango de tratamientos disponibles para la rehabilitación de funciones dañadas y proporcionan nuevas soluciones asistenciales para las funciones perdidas. En este artículo se revisan las neurotecnologías de asistencia y rehabilitación, en trastornos motores principalmente, se introduce una taxonomía que facilita su revisión sistemática, y se proporciona una visión global de los avances logrados en la investigación, desarrollo y aplicación en España de aquellas de sus tecnologías más básicas. es_ES
dc.description.sponsorship Los autores quieren agradecer el apoyo de NEUROTEC – Red Temática de Investigación en Neurotecnologías para la Asistencia y la Rehabilitación (DPI2015-69098-REDT), financiada por Ministerio de Economía y Competitividad. es_ES
dc.language Español es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.relation.ispartof Revista Iberoamericana de Automática e Informática industrial es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Neurotechnologies es_ES
dc.subject Brain-Computer Interfaces es_ES
dc.subject Robotics es_ES
dc.subject Signal Processing es_ES
dc.subject Electrical Stimulation es_ES
dc.subject Biomedical Systems es_ES
dc.subject Rehabilitation es_ES
dc.subject Assistive Technologies es_ES
dc.subject Neurotecnologías es_ES
dc.subject Interfaces cerebro-computador es_ES
dc.subject Robótica es_ES
dc.subject Procesamiento de señal es_ES
dc.subject Estimulación eléctrica es_ES
dc.subject Sistemas biomédicos es_ES
dc.subject Rehabilitación es_ES
dc.subject Tecnologías de asistencia es_ES
dc.title Estado del Arte en Neurotecnologías para la Asistencia y la Rehabilitación en España: Tecnologías Fundamentales es_ES
dc.title.alternative State of the Art in Neurotechnologies for Assistance and Rehabilitation in Spain: Fundamental Technologies es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.riai.2017.06.003
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//DPI2015-69098-REDT/ES/RED TEMATICA DE INVESTIGACION EN NEUROTECNOLOGIAS PARA LA ASISTENCIA Y LA REHABILITACION/ es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Barrios, LJ.; Hornero, R.; Pérez-Turiel, J.; Pons, JL.; Vidal, J.; Azorín, JM. (2017). Estado del Arte en Neurotecnologías para la Asistencia y la Rehabilitación en España: Tecnologías Fundamentales. Revista Iberoamericana de Automática e Informática industrial. 14(4):346-354. https://doi.org/10.1016/j.riai.2017.06.003 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.riai.2017.06.003 es_ES
dc.description.upvformatpinicio 346 es_ES
dc.description.upvformatpfin 354 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 14 es_ES
dc.description.issue 4 es_ES
dc.identifier.eissn 1697-7920
dc.relation.pasarela OJS\9179 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.description.references Alonso, J.F., Mañanas, M.A., Romero, S., Rojas-Martínez, M., Riba, J., 2012. Cross-conditional entropy and coherence analysis on pharmaco-EEG changes induced by alprazolam, Psychopharmacology, 221(3):397-406. DOI: 10.1007/s00213-011-2587-7 es_ES
dc.description.references Alonso, J.F., Romero, S., Mañanas, M.A., Alcalá, M, Antonijoan, R.M., Giménez, S., 2016. Acute sleep deprivation induces a local increase on brain transfer information in the frontal cortex in a context of widespread decrease, Sensors, 16(4). pii: E540. DOI: 10.3390/s16040540 es_ES
dc.description.references Angulo Sherman, I. N., Rodríguez Ugarte, M., Iáñez Martínez, E., Azorín Poveda, J. M., 2016. Efecto en la clasificación de imaginación motora a partir del EEG al aplicar tDCS en la corteza motora y el cerebelo. En: Libro de Actas CASEIB 2016. XXXIV Congreso Anual de la Sociedad Española de Ingeniería Biomédica. Valencia, 23 al 25 de noviembre de 2016, 249-252. es_ES
dc.description.references Antelis, J.M., Montesano, L., Ramos-Murguialday, A., Birbaumer, N., Minguez, J., 2017. Decoding Upper Limb Movement Attempt from EEG Measurements of the Contralesional Motor Cortex in Chronic Stroke Patients. IEEE Transactions on Biomedical Engineering 64(1), 99 - 111. es_ES
dc.description.references Antonakakis, M., Dimitriadis, S.I., Zervakis, M., Micheloyannis, S., Rezaie, R., Babajani-Feremi, A., Zouridakis, G., & Papanicolaou, A.C., 2016. Altered cross-frequency coupling in resting-state MEG after mild traumatic brain injury. Int. Journal of Psychophysiology, 102, 1-11. es_ES
dc.description.references Badesa, F. J., Morales, R., Garcia-Aracil, N. M., Sabater, J. M., Zollo, L., Papaleo, E., & Guglielmelli, E. 2016. Dynamic Adaptive System for Robot-Assisted Motion Rehabilitation. IEEE Syst. Journal, 10(3), 984-991. es_ES
dc.description.references Barrios, L.J., del Castillo, M.D., Serrano, J.I., Pons, J.L., 2012. A review of fMRI as a tool for enhancing EEG-based brain-machine interfaces. Applied Bionics and Biomechanics 9 (2), 125-133. DOI: 10.3233/ABB2012-0066 es_ES
dc.description.references Barrios, L.J., Minguillón, J., Perales, F.J., Ron-Angevin, R., Solé-Casals, J., Mañanas, M.A., 2017. Estado del Arte en Neurotecnologías para la Asistencia y la Rehabilitación en España: Tecnologías Auxiliares, Trasferencia Tecnológica y Aplicación Clínica. Revista Iberoamericana de Automática e Informática Industrial RIAI. (En este mismo número). es_ES
dc.description.references Barroso, F., Torricelli, D., Bravo-Esteban, E., Taylor, J., Gomez-Soriano, J., Santos, C., Moreno, J., Pons, J.L., Muscle synergies in cycling after incomplete spinal cord injury: correlation with clinical measures of motor function and spasticity, Frontiers in Human Neuroscience, Vol. 9, article 706, 2016. DOI: 10.3389/fnhum.2015.00706. es_ES
dc.description.references Benito, J., Kumru, H., Murillo, N., Costa, U., Medina, J., Tormos, J.M., Pascual-Leone, A., Vidal, J., 2012. Motor and gait improvement in patients with incomplete spinal cord injury induced by high-frequency repetitive transcranial magnetic stimulation. Top. Spinal Cord Inj. Rehabil. 18, 106-112. DOI:10.1310/sci1802-106 es_ES
dc.description.references Borau Duran, A., 2004. Presentation, development and validation of Barcelona technique in the application of implantable electric stimulators of anterior sacral roots (sars) for the control of sphincter's dysfunction in spinal cord patients. Universitat Politècnica de Catalunya. es_ES
dc.description.references Bortole, M., Venkatakrishnan, A., Zhu, F., Moreno, J.C., Francisco, G.E., Pons, J.L. and Contreras-Vidal, J.L., The H2 robotic exoskeleton for gait rehabilitation after stroke: early findings from a clinical study, Journal of NeuroEngineering and Rehabilitation 2015, 12:54. DOI: 10.1186/s12984- 015-0048-y. es_ES
dc.description.references Cabib, C., Ortega, O., Kumru, H., Palomeras, E., Vilardell, N., AlvarezBerdugo, D., Muriana, D., Rofes, L., Terré, R., Mearin, F., Clavé, P., 2016. Neurorehabilitation strategies for poststroke oropharyngeal dysphagia: from compensation to the recovery of swallowing function. Ann. N. Y. Acad. Sci. 1380, 121-138. DOI:10.1111/nyas.13135 es_ES
dc.description.references Claros, M.J., Soto, R., Gordillo, J.L., Pons, J.L. and Contreras-Vidal, J.L., Robotic Assistance of Human Motion using Active-backdrivability on a Geared Electromagnetic Motor, Int J Adv Robot Syst, 2016, 13:40. DOI: 10.5772/62331. es_ES
dc.description.references Corralejo, R., Hornero, R., Alvarez, D., 2011. Feature selection using a genetic algorithm in a motor imagery-based Brain Computer Interface. En 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 7703-7706. DOI: 10.1109/IEMBS.2011.6091898 es_ES
dc.description.references Corralejo, R., Nicolas-Alonso L.F., Álvarez D., Hornero, R., 2014. A P300- based brain-computer interface aimed at operating electronic devices at home for severely disabled people. Medical and Biological Engineering and Computing, 52(10), 861-872. DOI: 10.1007/s11517-014-1191-5 es_ES
dc.description.references Costa, A., Iáñez, E., Úbeda, A., Hortal, E., Del Ama, A., Gil, A.M., Azorin, J.M., 2016. Decoding the attentional demands of gait through EEG gamma band features. PLoS One 11(4), e0154136, 1 - 21. es_ES
dc.description.references Cullell, A., Moreno, J.C., Pons, J.L., Dynamic simulation of the behavior of an orthosis for knee and ankle functional compensation during gait, Gait and Posture, Vol. 26, SP-31 (2007). es_ES
dc.description.references Da Silva-Sauer L., Valero-Aguayo L., Velasco-Álvarez F., Ron-Angevin R., 2013. Psychological variables in the control of brain-computer interfaces. Psicothema 23(4), 745-751. Da Silva-Sauer, L., Valero-Aguayo, L., de la Torre-Luque, A., Ron-Angevin, R., Varona-Moya, S., 2016. Concentration on performance with P300- based BCI systems: A matter of interface features. Applied Ergonomics 52, 325-332. DOI: 10.1016/j.apergo.2015.08.002 es_ES
dc.description.references de los Reyes-Guzmán, A., Dimbwadyo-Terrer, I., Pérez-Nombela, S., Monasterio-Huelin, F., Torricelli, D., Pons, J.L. and Gil-Agudo, A., 2016. Novel kinematic indices for quantifying upper limb ability and dexterity after cervical spinal cord injury, Med Biol Eng Comput, August 2016. DOI: 10.1007/s11517-016-1555-0 es_ES
dc.description.references del Ama, A.J., Gil-Agudo, A., Bravo-Esteban, E., Pérez-Nombela, S., Pons, J.L., Moreno, J.C., 2014. Hybrid therapy of walking with Kinesis overground robot for persons with incomplete spinal cord injury: A feasibility study, Robotics and Autonomous Systems. DOI: 10.1016/j.robot.2014.10.014 es_ES
dc.description.references DiGiovine, C. P., Bresler, M. I., Bahr, P. A., 2014. A Historical Overview of Rehabilitation Engineering. Proceedings of the Annual Conference of the Rehabilitation Engineering and Assistive Technology Society of North America. Indianapolis, USA, June 11-15, 2014. es_ES
dc.description.references Dosen, S., Muceli, S., Dideriksen, J.L., Romero, J.P., Rocon, E., Pons, J.L., Farina, D., Online Tremor Suppression using Electromyography and Low Level Electrical Stimulation, IEEE Trans. on Neural Systems and Rehabilitation Engineering 2014. DOI: 10.1109/TNSRE.2014.2328296 es_ES
dc.description.references Duñabeitia, J.A., Ivaz, L., & Casaponsa, A., 2016. Developmental changes associated with cross-language similarity in bilingual children. Journal of Cognitive Psychology, 28:1, 16-31. es_ES
dc.description.references Escudero J., Sanei S., Jarchi D., Abásolo D., Hornero R., 2011. Regional coherence evaluation in mild cognitive impairment and Alzheimer's disease based on adaptively extracted magnetoencephalogram rhythms. Physiological Measurement, 32, 1163-1180. es_ES
dc.description.references Fernández, A., Zuluaga, P., Abásolo, D., Gómez, C., Serra, A., Méndez, M. A., Hornero, R., 2012. Brain oscillatory complexity across the life span. Clinical neurophysiology, 123 (11), 2154-2162. es_ES
dc.description.references Fernández-Rodríguez, A., Velasco-Álvarez, F., Ron-Angevin, R., 2016. Review of real brain-controlled wheelchairs. Journal of Neural Engineering 13(6). DOI: 10.1088/1741-2560/13/6/061001 es_ES
dc.description.references Fraile, J. C., Pérez-Turiel, J., Baeyens, E., Viñas, P., Alonso, R., Cuadrado, A., Nieto, F., 2016. E2Rebot: A robotic platform for upper limb rehabilitation in patients with neuromotor disability. Advances in Mechanical Engineering, 8(8), 1-13. DOI: 10.1177/1687814016659050 es_ES
dc.description.references Fraile, J.C., Pérez-Turiel, J., Viñas, P., Alonso, R., Cuadrado, A., Ayuso, L., García-Bravo, F., Nieto, F., Mihai, L., 2015. Control of the E2REBOT Platform for Upper Limb Rehabilitation in Patients with Neuromotor Impairment, Robot 2015: Second Iberian Robotics Conference, Volume 418 of the series Advances in Intelligent Systems and Computing, 303- 314. DOI 10.1007/978-3-319-27149-1_24 es_ES
dc.description.references Frizera, A., Ceres, R., Pons, J.L., 2011. Filtrado Adaptativo de Componentes Involuntarias en Marcha Asistida por Andador para Detección de Intenciones. Revista Iberoamericana de Automática e Informática Industrial RIAI, 8, 71-80. es_ES
dc.description.references Gallego, J.A., Rocon, E., Belda, J.M., Pons, J.L., A Neuroprosthesis for Tremor Management through the Control of Muscle Co-contraction, Journal of NeuroEngineering and Rehabilitation 2013, 10:36. es_ES
dc.description.references Gómez, C., Olde Dubbelink, K.T., Stam, C.J., Abásolo, D., Berendse, H.W., Hornero, R., 2011. Complexity analysis of resting-state MEG activity in early-stage Parkinson's disease patients. Annals of Biomedical Engineering, 39(12), 2935-2944. DOI: 10.1007/s10439-011-0416-0 es_ES
dc.description.references Gómez, C., Pérez-Macías, J. M., Poza, J., Fernández, A., Hornero, R., 2013. Spectral changes in spontaneous MEG activity across the lifespan. Journal of neural engineering, 10 (6), 066006. es_ES
dc.description.references Gomez-Pilar, J., Martín-Santiago, O., Suazo, V., Azua, S. R., Haidar, M. K., Gallardo, R., Poza, J., Hornero, R., Molina, V., 2016. Association between electroencephalographic modulation, psychotic-like experiences and cognitive performance in the general population. Psychiatry and clinical neurosciences. es_ES
dc.description.references Gonzalez-Moreno A., Aurtenetxe S., Lopez-Garcia M.E., del Pozo F., Maestu F., Nevado A., 2014. Signal-to-noise ratio of the MEG signal after preprocessing. J. Neurosci. Methods. 222:56-61. es_ES
dc.description.references Guerrero, C. R., Fraile, J. C., Pérez-Turiel, J., Farina, P. R., 2011. Robot biocooperativo con modulación háptica para tareas de neurorehabilitación de los miembros superiores. Revista Iberoamericana de Automática e Informática Industrial RIAI, 8(2), 63-70. DOI: 10.4995/RIAI.2011.02.09 es_ES
dc.description.references Guerrero, C. R., Marinero, J. C. F., Turiel, J. P., Muñoz, V., 2013. Using "human state aware" robots to enhance physical human-robot interaction in a cooperative scenario. Computer methods and programs in biomedicine, 112(2), 250-259. DOI: 10.1016 / j.cmpb.2013.02.003 es_ES
dc.description.references Guerrero, C. R., Marinero, J. F., Turiel, J. P., Farina, P. R., 2010. Bio cooperative robotic platform for motor function recovery of the upper limb after stroke. In 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 4472-4475. DOI: 10.1109/IEMBS.2010.5626052 es_ES
dc.description.references Guillaume D; A Van HAvenbergh; Michael Vloeberghs; Joan Vidal; Geir Roeste. A clinical study of intrathecal baclofen using a programmable pump for intractable spasticity. Arch Phys Med Rehabil. 86, pp. 2165 - 2171. 2005. es_ES
dc.description.references Gunduz, A., Kumru, H., Pascual-Leone, A., 2014. Outcomes in spasticity after repetitive transcranial magnetic and transcranial direct current stimulations. Neural Regen. Res. 9, 712-718. DOI:10.4103/1673- 5374.131574 es_ES
dc.description.references Hansen, L.B., Macizo, P., Duñabeitia, J.A., Saldaña, D., Carreiras, M., Fuentes, L.J., & Bajo, M.T., 2016. Emergent bilingualism and Working Memory development in school aged children. Lang. Learn., 66(2), 51-75. es_ES
dc.description.references Hayashibe, M., Guiraud, D., Pons, J.L. and Farina, D., Biosignal processing and computational methods to enhance sensory motor neuroprosthetics, Front. Neurosci. DOI: 10.3389/fnins.2015.004344 es_ES
dc.description.references Hortal, E., Planelles, D., Costa, A., Iáñez, E., Úbeda, A., Azorín, J. M., Fernández, E., 2015a. SVM-based Brain-Machine Interface based on four mental tasks for controlling a robot arm. Neurocomp. 151(1), 116 - 121. es_ES
dc.description.references Hortal, E., Planelles, D., Resquín, F., Climent, J.M., Azorin, J.M., Pons, J.L, 2015b. Using a brain-machine interface to control a hybrid upper limb exoskeleton during rehabilitation of patients with neurological conditions. Journal of NeuroEngineering and Rehabilitation 12(92), 1-16. DOI: 10.1186/s12984-015-0082-9 es_ES
dc.description.references Hortal, E., Úbeda, A., Iáñez, E., Azorín, J.M., 2014. Control of a 2 DoF Robot Using a Brain-Machine Interface. Computer Methods and Programs in Biomedicine 116(2), 169-176. es_ES
dc.description.references Hortal, E., Ubeda, A., Iañez, E., Azorin, J.M., Fernandez, E., 2016. EEGbased Detection of Starting and Stopping During Gait Cycle. International Journal of Neural Systems 26(7): 1650029, 1-13. es_ES
dc.description.references Ibáñez, J., Serrano, J.I., del Castillo, M.D., Minguez, J., Pons, J.L., 2015. Predictive classification of self-paced upper-limb analytical movements with EEG, Medical & Biological Engineering & Computing. DOI: 10.1007/s11517-015-1311-x es_ES
dc.description.references Koutsou, A., Moreno, J.C., del Ama, A.J., Rocon, E., Pons, J.L., Advances in Selective Activation of Muscles for Non-invasive Motor Neuroprostheses, Journal of NeuroEngineering and Rehabilitation, 2016, 13:56. DOI: 10.1186/s12984-016-0165-2 es_ES
dc.description.references Kumru, H., Benito-Penalva, J., Valls-Sole, J., Murillo, N., Tormos, J.M., Flores, C., Vidal, J., 2016. Placebo-controlled study of rTMS combined with Lokomat(®) gait training for treatment in subjects with motor incomplete spinal cord injury. Exp. Brain Res. 234, 3447-3455. DOI:10.1007/s00221-016-4739-9 es_ES
dc.description.references Kumru, H., Murillo, N., Samso, J.V., Valls-Sole, J., Edwards, D., Pelayo, R., Valero-Cabre, A., Tormos, J.M., Pascual-Leone, A., 2010. Reduction of spasticity with repetitive transcranial magnetic stimulation in patients with spinal cord injury. Neurorehabil. Neural Repair 24, 435-441. DOI:10.1177/1545968309356095 es_ES
dc.description.references Lagoda, C., Moreno, J.C., Pons, J.L., Human-robot interfaces in exoskeletons for gait training after stroke: State of the art and challenges, Applied Bionics and Biomechanics 2012. DOI: 10.3233/ABB-2012-0056 es_ES
dc.description.references Lambrecht, S., Gallego, J.A., Rocon, E., Pons, J.L., Automatic real-time monitoring and assessment of tremor parameters in the upper limb from orientation data, Front. Neurosci., 8: 221 (July, 24th, 2014). DOI: 10.3389/fnins.2014.00221 es_ES
dc.description.references Lambrecht, S., Nogueira, S.L., Bortole, M., Siqueira A.A.G., Terra, M.H., Rocon, E., Pons, J.L., Inertial sensor error reduction through calibration and sensor fusión, Sensors 2016, 16, 235. DOI: 10.3390/s16020235 es_ES
dc.description.references López M. E., Cuesta P., Garcés P., Castellanos P.N., Aurtenetxe S., Bajo R., Marcos A., Delgado M.L., Montejo P., López-Pantoja J.L., Maestú F., Fernandez A., 2014. MEG spectral analysis in subtypes of mild cognitive impairment. Age (Dordr). 36(3):9624. es_ES
dc.description.references Lopez-Gordo, M. A., Grima Murcia, M. D., Padilla P., Pelayo, F., Fernandez, E., 2016a. Asynchronous Detection of Trials Onset from Raw EEG Signals. International Journal of Neural Systems, 26 (7), 1-11. es_ES
dc.description.references Lopez-Gordo, M. A., Padilla P., Pelayo Valle, F., 2016b. A proposal for biosynchronized transmission of EEG/ERP data. Eurasip Journal on Wireless Communications and Networking, 54 (1), 1-12. es_ES
dc.description.references Lopez-Gordo, M. A., Padilla P., Pelayo, F., Fernandez, E., 2015. Asynchronous EEG/ERP acquisition for EEG teleservices. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9107, 296-304. es_ES
dc.description.references Lopez-Gordo, M. A., Pelayo, F., Prieto, A., Fernandez, E., 2012. An auditory brain-computer interface with accuracy prediction. International Journal of Neural Systems, 22 (3), 1-14. es_ES
dc.description.references Lopez-Gordo, M. A., Prieto, A., Pelayo, F., Morillas, C., 2011a. Customized stimulation enhances performance of independent binary SSVEP-BCIs. Clinical Neurophysiology, 122 (1), 128-133. es_ES
dc.description.references Lopez-Gordo, M. A., Ron-Angevin, R., Pelayo Valle, F., 2011b. Auditory brain-computer interfaces for complete locked-in patients. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6691 LNCS (PART 1), 378-385. es_ES
dc.description.references Lubeiro, A., Gomez-Pilar, J., Martín, O., Palomino, A., Fernández, M., González-Pinto, A., Poza, J., Hornero, R., Molina, V., 2015. Variation at NRG1 genotype related to modulation of small-world properties of the functional cortical network. European archives of psychiatry and clinical neuroscience, 1-8, Aceptado (no publicado). es_ES
dc.description.references Martin, P.I., Treglia, E., Naeser, M.A., Ho, M.D., Baker, E.H., Martin, E.G., Bashir, S., Pascual-Leone, A., 2014. Language improvements after TMS plus modified CILT: Pilot, open-protocol study with two, chronic nonfluent aphasia cases. Restor. Neurol. Neurosci. 32, 483-505. DOI:10.3233/RNN-130365 es_ES
dc.description.references Martínez-Cagigal, V., Gomez-Pilar J., Álvarez D., Hornero, R., 2016. An Asynchronous P300-Based Brain-Computer Interface Web Browser for Severely Disabled People. IEEE Transactions on Neural Systems and Rehabilitation Engineering, Aceptado (no publicado). DOI: 10.1109/TNSRE.2016.2623381 es_ES
dc.description.references Martínez-Cagigal, V., Núñez, P., Hornero, R., 2017. Spectral Regression Kernel Discriminant Analysis for P300 Speller Based Brain-Computer Interfaces. En Converging Clinical and Eng. Research on Neurorehab. II. Springer, 789-793. DOI: 10.1007/978-3-319-46669-9-129. es_ES
dc.description.references Martínez-Zarzuela, M., Gómez, C., Díaz-Pernas, F. J., Fernández, A., Hornero, R., 2013. Cross-approximate entropy parallel computation on GPUs for biomedical signal analysis. Application to MEG recordings. Computer methods and programs in biomedicine, 112 (1), 189-199. es_ES
dc.description.references Migliorelli, C, Alonso, J.F., Romero, S., Mañanas, M.A., Nowak, R., Russi, A. 2016. Influence of Metallic Artifact Filtering on MEG Signals for Source Localization during Interictal Epileptiform Activity. Journal of Neural Engineering 13 (2): 26029. DOI:10.1088/1741-2560/13/2/026029 es_ES
dc.description.references Migliorelli, C, Alonso, J.F., Romero, S., Mañanas, M.A., Nowak, R., Russi, A. 2017. Visual Detection of High Frequency Oscillations in MEG. In, 769-73. Springer International Publishing. DOI: 10.1007/978-3-319- 46669-9_126. es_ES
dc.description.references Minguillon, J., Lopez-Gordo, M. A., Pelayo, F., 2016a. Detection of attention in multi-talker scenarios: A fuzzy approach. Expert Systems with Applications, 64 (DEC), 261-268. es_ES
dc.description.references Minguillon, J., Lopez-Gordo, M. A., Pelayo, F., 2016b. Stress assessment by prefrontal relative gamma. Frontiers in Computational Neuroscience, 10 (SEP), 101. es_ES
dc.description.references Minguillon, J., Lopez-Gordo, M. A., Pelayo, F., 2017. Trends in EEG-BCI for daily-life: Requirements for artifact removal. Biomedical Signal Processing and Control, 31 (JAN), 407-418. DOI: 10.1016/j.bspc.2016.09.005 es_ES
dc.description.references Moreno, J.C., Brunetti, F., Rocon, E., Pons, J.L., Immediate effects of a controllable knee ankle foot orthosis for functional compensation of gait in patients with proximal leg weakness, Medical Biological Engineering & Computing., 46-1, pp. 43-53, 2008. es_ES
dc.description.references Moreno, J.C., Brunetti, F.J., Cullell, A., Forner-Cordero, A., Pons, J.L., Simulation of knee function during gait with an orthosis by means of two springs of different stiffnesses, Gait and Posture, Vol. 21, pp. S140 (2005). es_ES
dc.description.references Moreno, J.C., Rocon, E., Ruiz, A.F., Brunetti, F., Pons, J.L., Design and implementation of an inertial measurement unit for control of artificial limbs: application on leg orthoses, Sensors and Actuators B, 118, pp. 333- 337 (2006). es_ES
dc.description.references Nicolas-Alonso, L.F., Corralejo R., Gomez-Pilar J., Álvarez D., Hornero R., 2015. Adaptive semi-supervised classification to reduce intersession nonstationarity in multiclass motor imagery-based brain-computer interfaces. Neurocomputing, 159, 186-196. DOI: 10.1016/j.neucom.2015.02.005 es_ES
dc.description.references Opisso, E., Borau, A., Rijkhoff, N.J.M., 2011. Urethral sphincter EMGcontrolled dorsal penile/clitoral nerve stimulation to treat neurogenic detrusor overactivity. J. Neural Eng. 8, 036001. DOI:10.1088/1741- 2560/8/3/036001 es_ES
dc.description.references Opisso, E., Borau, A., Rijkhoff, N.J.M., 2013. Subject-controlled stimulation of dorsal genital nerve to treat neurogenic detrusor overactivity at home. Neurourol. Urodyn. 32, 1004-1009. DOI:10.1002/nau.22359 es_ES
dc.description.references Pérez-Nombela, S., Barroso, F., Torricelli, D., de los Reyes-Guzmán, A., del Ama-Espinosa, A.J., Gomez-Soriano, J., Pons, J.L., and Gil-Agudo, A., Modular control of gait after Incomplete Spinal Cord Injury: differences between sides, Spinal Cord, (28 June 2016). DOI: 10.1038/sc.2016.99 es_ES
dc.description.references Piazza, S., Gomez-Soriano, J., Bravo-Esteban, E, Torrecelli, D., Avíla-Martín, G., Galan-Arriero, I, Pons, J.L.; Taylor, J., Maintenance of cutaneomuscular neuronal excitability after leg-cycling predicts lower limb muscle strength after incomplete spinal cord injury, Clinical Neurophysiology 127 (2016) 2402-2409. DOI: 10.1016/j.clinph.2016.03.007 es_ES
dc.description.references Pons, J.L., Rehabilitation Exoskeletal Robotics, IEEE Engineering in Medicine and Biology Magazine, 29-3, pp. 57-63, 2010. es_ES
dc.description.references Rajasekaran, V., Aranda, J., Casals, A., Pons, J.L, 2014. An adaptive control strategy for postural stability using a wearable robot, Robotics and Autonomous Systems. DOI: 10.1016/j.robot.2014.11.014 es_ES
dc.description.references Raya, R., Roa, J.O., Rocon, E., Ceres, R., Pons, J.L., Wearable inertial mouse for children with physical and cognitive impairments, Sensors & Actuators: Physical, 162(2), August 2010, pp. 248-259, 2010. es_ES
dc.description.references Renedo-Criado, D. A., López-Gordo, M. A., Minguillón, J., Sánchez-Carrión M. J., Pelayo, F., 2016. Electrophysiological measurement of effects of color over level of stress. 4th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO) 2016, Granada (Spain), April 2016. es_ES
dc.description.references Resquín, F., Gonzalez-Vargas, J., Ibáñez, J., Brunetti, F., Pons, J.L., Feedback error learning controller for functional electrical stimulation assistance in a hybrid robotic system for reaching rehabilitation, European Journal of Translational Myology 26, 3 (2016). DOI: 10.4081/ejtm.2016.6164 es_ES
dc.description.references Rocon, E., Belda-Lois, J.M., Ruiz, A.F., Manto, M., Pons, J.L., 2007. Design and Validation of a Rehabilitation Robotic Exoskeleton for Tremor Assessment and Suppression, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 15-3, pp. 367-378. es_ES
dc.description.references Rodriguez-Ugarte, M., Sciacca, N., Azorín, J.M., 2016. Transcranial Direct Current Stimulation (tDCS) and transcranial Current Alternating Stimulation (tACS) review. En: Actas de las XXXVII Jornadas de Automática (7, 8 y 9 de septiembre de 2016, Madrid), 137 -143. es_ES
dc.description.references Roig Rovira, T., García Molina, A., Pascual Leone, A., Castaño Monsalve, B., Soler Fernandez, D., Tormos Muñoz, J.M., Bernabeu Guitart, M., Fecteau, S., Robles, V., 2010. Eficacia de la estimulación directa transcraneal en el tratamiento de la apatía secundaria a lesiones cerebrales de origen traumático. Fund. Mapfre. es_ES
dc.description.references Romero S., Mañanas M.A., Barbanoj M.J., 2009a. Ocular reduction in EEG signals based on adaptive filtering, regression and blind source separation, Annals of Biomedical Engineering, 37 (1), 176-191. DOI: 10.1007/s10439- 008-9589-6 es_ES
dc.description.references Romero S., Mañanas M.A., Barbanoj M.J., 2009b. Influence of ocular filtering in EEG data on the assessment of drug-induced effects on the brain, Human Brain Mapping, 30(5), 1470-1480. DOI:10.1002/hbm.20614 es_ES
dc.description.references Ron-Angevin, R., Díaz-Estrella, A, Velasco-Álvarez, F., 2009b. A two-class Brain-Computer Interface to freely navigate through virtual worlds. Biomedizinische Technik 54, 126-133. DOI: 10.1515/BMT.2009.014 es_ES
dc.description.references Ron-Angevin, R., Diaz-Estrella, A., 2008. Training protocol evaluation of a brain-computer interface: mental tasks proposal. Revista de neurología 47(4), 197-203. es_ES
dc.description.references Ron-Angevin, R., Díaz-Estrella, A., 2009a. Brain-computer interface: Changes in performance using virtual reality techniques. Neuroscience letters 449 (2), 123-127. DOI: 10.1016/j.neulet.2008.10.099 es_ES
dc.description.references Ron-Angevin,R., Varona-Moya, S., da Silva-Sauer, L., 2015. Initial test of a T9-like P300-based speller by an ALS patient. Journal of Neural Engineering 12(4). DOI: 10.1088/1741-2560/12/4/046023 es_ES
dc.description.references Rosset-Llobet, J., Fàbregas-Molas, S., Pascual-Leone, Á., 2015. Effect of Transcranial Direct Current Stimulation on Neurorehabilitation of TaskSpecific Dystonia: A Double-Blind, Randomized Clinical Trial. Med. Probl. Perform. Art. 30, 178-184. es_ES
dc.description.references Salazar-Varas, R. Costa, A., Iáñez, E., Úbeda, A., Hortal, E., Azorín, J.M., 2015. Analyzing EEG signals to detect unexpected obstacles during walking. Journal of NeuroEngineering and Rehabilitation 12(101), 1-15. es_ES
dc.description.references Sarrias, M., Sarrias, F., Borau, A., 1993. The "Barcelona" technique. Neurourol. Urodyn. 12, 495-496. es_ES
dc.description.references Serrano, J., Del Castillo, M., Raya, R., Bayón, C., Martínez Caballero, I., Lerma, S., Rocon, E., 2015. BCI basado en la facilitación asociativa de la actividad cortical para el inicio de la marcha en Parálisis Cerebral. Cognitive Area Networks 2(1), 23-26. es_ES
dc.description.references Sirvent Blasco, J.L., Iáñez, E., Úbeda, A., Azorín, J.M., 2012. Visual evoked potential-based brain-machine interface applications to assist disabled people. Expert Systems with Applications 39(9), 7908- 7918. es_ES
dc.description.references Slabu, L.M., Escera, C., Grimm, S., & Costa-Faidella, J., 2010. Early change detection in humans as revealed by auditory brainstem and middle-latency evoked potentials. European Journal of Neuroscience, 32, 859-865. es_ES
dc.description.references Slof, J., Serrano, D., Álvarez, M., Álvarez López-Dóriga, M., Marqués, T., Benito, J., Vidal, J., 2014. Cost-Effectiveness Model Results of Intrathecal Baclofen Therapy Compared to Conventional Medical Management in Patients with Non-Focal Disabling Spasticity Who Are Resistant or Intolerant to Oral Therapy at the Institut Guttmann. Value Health J. Int. Soc. Pharmacoeconomics Outcomes Res. 17, A399-400. DOI: 10.1016/j.jval.2014.08.907 es_ES
dc.description.references Solé-Casals, J., Vialatte, F.B., 2015. Towards Semi-Automatic Artifact Rejection for the Improvement of Alzheimer's Disease Screening from EEG Signals, Sensors, 15(8), 17963-17976. DOI: 10.3390/s150817963 es_ES
dc.description.references Soler, M.D., Kumru, H., Pelayo, R., Vidal, J., Tormos, J.M., Fregni, F., Navarro, X., Pascual-Leone, A., 2010. Effectiveness of transcranial direct current stimulation and visual illusion on neuropathic pain in spinal cord injury. Brain J. Neurol. 133, 2565-2577. DOI:10.1093/brain/awq184 es_ES
dc.description.references Torricelli, D., Gonzalez, J., Weckx, M., Jiménez-Fabián, R., Vanderborght, B., Sartori, M., Dosen, S., Farina, D., Lefeber, D., Pons, J.L., 2016. Human-like compliant locomotion: State of the art of robotic implementations, Bioinspiration & Biomimetics, 11, 051002. DOI: 10.1088/1748-3190/11/5/051002 es_ES
dc.description.references Tran, D., Pajaro-Blazquez, M., Daneault, J.C., Gallegos, J.G., Pons, J.L., Fregni, F., Bonato, P., Zafonte, R., The case for combining dopaminergic facilitation with robot-assisted upper-limb therapy in stroke survivors: a position paper, American J. of PM&R, January 29, 2016. DOI: 10.1097/PHM.0000000000000438 es_ES
dc.description.references Úbeda, A., Hortal, E., Iáñez, E., Pérez-Vidal, C., Azorin, J.M., 2015. Assessing Movement Factors in Upper Limb Kinematics Decoding from EEG Signals. PLoS One 10(5), e0128456, 1 - 12. es_ES
dc.description.references Varona-Moya, S., Velasco-Álvarez, F., Sancha-Ros, S., FernándezRodríguez,A., Blanca-Mena, M.J., Ron-Angevin, R., 2015. Wheelchair Navigation with an Audio-cued, Two-Class Motor Imagery-based Brain- Computer Interface System. Proceedings of the 7th International IEEE EMBS Conference on Neural Engineering. DOI: 10.1109/NER.2015.7146588 es_ES
dc.description.references Velasco-Álvarez F., Ron-Angevín R., Blanca-Mena M.J., 2010. Free Virtual Navigation Using Motor Imagery Through an Asynchronous BrainComputer Interface. Presence, Teleoperators and Virtual Environments 19 (1), 71-81. DOI: 10.1162/pres.19.1.71 es_ES
dc.description.references Velasco-Álvarez, F., Ron-Angevin, R., da Silva-Sauer, L., Sancha-Ros, S., 2013. Audio-cued motor imagery-based brain-computer interface: Navigation through virtual and real environments. Neurocomputing 121(9), 89-98. DOI: 10.1016/j.neucom.2012.11.038 es_ES
dc.description.references Vialatte, F.B., Solé-Casals, J., Cichocki, A., 2008. EEG Windowed Statistical wavelet scoring for evaluation and discrimination of muscular artifacts, Physiol. Meas. 29, 1435-1452. es_ES
dc.description.references Vidal J; Fenollosa P; E Martin; j Barbera; FJ Robaina; M Fuentes; M Rodriguez; C Arechaga; ML Franco; E Rodriguez. 2000. Safety and efficacy of intrathecal baclofen infusion by implantable pump for the treatment of severe spinal spasticity: A Spanish Multicenter study. Neuromodulation. 3 - 4, pp. 175 - 182 es_ES
dc.description.references Vidal, J., Slof, J., Serrano, D., Marqués, T., Kumru, H., Benito-Penalva, J., 2016. Cost-effectiveness of Intrathecal Baclofen Therapy in severe refractory non-focal disabling spasticity: A Spanish hospital perspective. Expert Rev. Pharmacoecon. Outcomes Res. 1-10. DOI:10.1080/14737167.2016.1180247 es_ES
dc.description.references Vidal-Piñeiro, D., Martin-Trias, P., Arenaza-Urquijo, E.M., Sala-Llonch, R., Clemente, I.C., Mena-Sánchez, I., Bargalló, N., Falcón, C., Pascual-Leone, Á., Bartrés-Faz, D., 2014. Task-dependent activity and connectivity predict episodic memory network-based responses to brain stimulation in healthy aging. Brain Stimulat. 7, 287-296. DOI: 10.1016/j.brs.2013.12.016 es_ES
dc.description.references Xu, R., Jiang, N., Mrachacz-Kersting, N., Lin, C., Asín, G., Moreno, J.C., Pons, J.L., Dremstrup, K., Farina, D., A Closed-Loop Brain-Computer Interface Triggering an Active Ankle-Foot Orthosis for Inducing Cortical Neural Plasticity, IEEE Trans. on Biomedical Engineering 2014, 61(7), pp. 2092-2101. DOI: 10.1109/TBME.2014.2313867 es_ES


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