6 research outputs found

    Una prueba fuera del laboratorio de una interfaz cerebro computador basada en potenciales de estado estable evocados visualmente

    Get PDF
    Context: Steady State Visually Evoked Potentials (SSVEP) are brain signals which are one of the most promising signals for Brain Computer Interfaces (BCIs) implementation, however, SSVEP based BCI generally are proven in a controlled environment and there are a few tests in demanding conditions.Method: We present a SSVEP based BCI system that was used outside the lab in a noisy environment with distractions, and with the presence of public. For the tests, we showed a maze in a laptop where the user could move an avatar looking for a target that is represented by a house.  In order to move the avatar, the volunteer must stare at one of the four visual stimuli; the four visual stimuli represent the four directions: right, up, left, and down. The system is proven without any calibration procedure.Results: 32 volunteers utilized the system and 20 achieved the target with an accuracy above 60%, including 9 with an accuracy of 100%, 7 achieved the target with an accuracy below 60% and 5 left without achieving the goal. For the volunteers who reached accuracy above 60%, the results of the performance achieved an average of 6,4s for command detections, precision of 79% and information transfer rate (ITR) of 8,78 bits/s.Conclusions: We showed a SSVEP based BCI system with low cost, it was proved in a public event, it did not have calibration procedures, it was easy to install, and it was used for people in a wide age range. The results show that it is possible to bring this kind of systems to environments outside the laboratory.Contexto: Los potenciales de estado estable evocados visualmente (SSVEP) surgen como una de las señales medidas del cerebro más promisorias para la implementación de interfaces cerebro computador (BCI), sin embargo las aplicaciones realizadas generalmente son limitadas a ambientes restringidos de laboratorio presentando mínimas pruebas en ambientes donde las condiciones son exigentes.Método: Se implementó un sistema BCI basado en SSVEP cuyas pruebas se realizaron en un ambiente no controlado con altos niveles de distracción y con la presencia de gran cantidad de público. Al  usuario se le propone  un laberinto donde un avatar debe ser llevado a un objetivo representado por una casa. Para mover el avatar el voluntario debe fijar su mirada en uno de los cuatro estímulos visuales, los estímulos visuales representan las cuatro direcciones: izquierda, arriba, derecha y abajo. El sistema fue usado sin ningún tipo de calibración.Resultados: 32 voluntarios usaron el sistema y 20 lograron el objetivo con una precisión mayor al 60%, incluyendo 9 con una precisión del 100%, 7 lograron el objetivo con una precisión menor al 60% y 5 se retiraron antes de conseguir el objetivo. Para los voluntarios que lograron una precisión mayor al 60% se alcanzó en promedio un tiempo de detección de 6,4s, una precisión de 79%  y una razón de transferencia de información (ITR) de 8,78bits/s.Conclusiones: Se pudo mostrar un sistema BCI basado en SSVEP de bajo costo, probado en un evento público, sin procedimientos de calibración, de fácil instalación y usado por personas en un amplio rango de edades. Los resultados muestran que es factible llevar este tipo de sistemas a ambientes fuera del laboratorio

    Graphonomics and your Brain on Art, Creativity and Innovation : Proceedings of the 19th International Graphonomics Conference (IGS 2019 – Your Brain on Art)

    Get PDF
    [Italiano]: “Grafonomia e cervello su arte, creatività e innovazione”. Un forum internazionale per discutere sui recenti progressi nell'interazione tra arti creative, neuroscienze, ingegneria, comunicazione, tecnologia, industria, istruzione, design, applicazioni forensi e mediche. I contributi hanno esaminato lo stato dell'arte, identificando sfide e opportunità, e hanno delineato le possibili linee di sviluppo di questo settore di ricerca. I temi affrontati includono: strategie integrate per la comprensione dei sistemi neurali, affettivi e cognitivi in ambienti realistici e complessi; individualità e differenziazione dal punto di vista neurale e comportamentale; neuroaesthetics (uso delle neuroscienze per spiegare e comprendere le esperienze estetiche a livello neurologico); creatività e innovazione; neuro-ingegneria e arte ispirata dal cervello, creatività e uso di dispositivi di mobile brain-body imaging (MoBI) indossabili; terapia basata su arte creativa; apprendimento informale; formazione; applicazioni forensi. / [English]: “Graphonomics and your brain on art, creativity and innovation”. A single track, international forum for discussion on recent advances at the intersection of the creative arts, neuroscience, engineering, media, technology, industry, education, design, forensics, and medicine. The contributions reviewed the state of the art, identified challenges and opportunities and created a roadmap for the field of graphonomics and your brain on art. The topics addressed include: integrative strategies for understanding neural, affective and cognitive systems in realistic, complex environments; neural and behavioral individuality and variation; neuroaesthetics (the use of neuroscience to explain and understand the aesthetic experiences at the neurological level); creativity and innovation; neuroengineering and brain-inspired art, creative concepts and wearable mobile brain-body imaging (MoBI) designs; creative art therapy; informal learning; education; forensics

    Interfaz cerebro-máquina basada en imaginación motora de miembro inferior

    Get PDF
    El objetivo de este proyecto es analizar los registros de las señales cerebrales re-lacionadas con la imaginación motora de miembro inferior, así como diversas tareas de relajación. Se realizarán estudios de diferentes parámetros del preprocesamiento, extrac-ción de características, clasificadores y selección de electrodos para tratar de mejorar los resultados en la posterior validación cruzada. Finalmente se obtendrán cuáles son las mejores configuraciones específicas para cada par de tareas y de forma global para todos los usuariosThe objective of this project is to analyse the records of brain signals related to lower limb motor imagination, as well as various relaxation tasks. Studies of different parameters of the preprocessing, feature extraction, classifiers and selection of electrodes will be carried out to try to improve the results in the subsequent cross-validation. Finally, the best specific configurations will be obtained for each pair of tasks and globally for all user

    De animais a máquinas : humanos tecnicamente melhores nos imaginários de futuro da convergência tecnológica

    Get PDF
    Dissertação (mestrado)—Universidade de Brasília, Instituto de Ciências Sociais, Departamento de Sociologia, 2020.O tema desta investigação é discutir os imaginários sociais de ciência e tecnologia que emergem a partir da área da neuroengenharia, em sua relação com a Convergência Tecnológica de quatro disciplinas: Nanotecnologia, Biotecnologia, tecnologias da Informação e tecnologias Cognitivas - neurociências- (CT-NBIC). Estas áreas desenvolvem-se e são articuladas por meio de discursos que ressaltam o aprimoramento das capacidades físicas e cognitivas dos seres humanos, com o intuito de construir uma sociedade melhor por meio do progresso científico e tecnológico, nos limites das agendas de pesquisa e desenvolvimento (P&D). Objetivos: Os objetivos nesse cenário, são discutir as implicações éticas, econômicas, políticas e sociais deste modelo de sistema sociotécnico. Nos referimos, tanto as aplicações tecnológicas, quanto as consequências das mesmas na formação dos imaginários sociais, que tipo de relações se estabelecem e como são criadas dentro desse contexto. Conclusão: Concluímos na busca por refletir criticamente sobre as propostas de aprimoramento humano mediado pela tecnologia, que surgem enquanto parte da agenda da Convergência Tecnológica NBIC. No entanto, as propostas de melhoramento humano vão muito além de uma agenda de investigação. Há todo um quadro de referências filosóficas e políticas que defendem o aprimoramento da espécie, vertentes estas que se aliam a movimentos trans-humanistas e pós- humanistas, posições que são ao mesmo tempo éticas, políticas e econômicas. A partir de nossa análise, entendemos que ciência, tecnologia e política estão articuladas, em coprodução, em relação às expectativas de futuros que são esperados ou desejados. Ainda assim, acreditamos que há um espaço de diálogo possível, a partir do qual buscamos abrir propostas para o debate público sobre questões de ciência e tecnologia relacionadas ao aprimoramento da espécie humana.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)The subject of this research is to discuss the social imaginaries of science and technology that emerge from the area of neuroengineering in relation with the Technological Convergence of four disciplines: Nanotechnology, Biotechnology, Information technologies and Cognitive technologies -neurosciences- (CT-NBIC). These areas are developed and articulated through discourses that emphasize the enhancement of human physical and cognitive capacities, the intuition it is to build a better society, through the scientific and technological progress, at the limits of the research and development (R&D) agendas. Objectives: The objective in this scenery, is to discuss the ethic, economic, politic and social implications of this model of sociotechnical system. We refer about the technological applications and the consequences of them in the formation of social imaginaries as well as the kind of social relations that are created and established in this context. Conclusion: We conclude looking for critical reflections about the proposals of human enhancement mediated by the technology. That appear as a part of the NBIC technologies agenda. Even so, the proposals of human enhancement go beyond boundaries that an investigation agenda. There is a frame of philosophical and political references that defend the enhancement of the human beings. These currents that ally to the transhumanism and posthumanism movements, positions that are ethic, politic and economic at the same time. From our analysis, we understand that science, technology and politics are articulated, are in co-production, regarding the expected and desired futures. Even so, we believe that there is a space of possible dialog, from which we look to open proposals for the public discussion on questions of science and technology related to enhancement of human beings

    State of the Art in Neurotechnologies for Assistance and Rehabilitation in Spain: Fundamental Technologies

    Get PDF
    [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] 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.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.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.2017.06.003346354144Alonso, 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/s00213-011-2587-7Alonso, 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/s16040540Angulo 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.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.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.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.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/ABB2012-0066Barrios, 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).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.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/sci1802-106Borau 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.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.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.13135Claros, 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.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.2011.6091898Corralejo, 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/s11517-014-1191-5Costa, 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.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).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.2015.08.002de 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/s11517-016-1555-0del 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.2014.10.014DiGiovine, 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.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.2014.2328296Duñabeitia, 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.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.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.Fernández-Rodríguez, A., Velasco-Álvarez, F., Ron-Angevin, R., 2016. Review of real brain-controlled wheelchairs. Journal of Neural Engineering 13(6). DOI: 10.1088/1741-2560/13/6/061001Fraile, 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: 10.1177/1687814016659050Fraile, 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_24Frizera, 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.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.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/s10439-011-0416-0Gómez, 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.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.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.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.2011.02.09Guerrero, 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.2013.02.003Guerrero, 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.2010.5626052Guillaume 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.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- 5374.131574Hansen, 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.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.2015.004344Hortal, 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.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/s12984-015-0082-9Hortal, 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.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.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-xKoutsou, 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/s12984-016-0165-2Kumru, 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/s00221-016-4739-9Kumru, 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:10.1177/1545968309356095Lagoda, 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-2012-0056Lambrecht, 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.2014.00221Lambrecht, 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/s16020235López 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.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.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.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.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.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.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.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).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-130365Martínez-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.2016.2623381Martínez-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.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.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:10.1088/1741-2560/13/2/026029Migliorelli, 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.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.Minguillon, J., Lopez-Gordo, M. A., Pelayo, F., 2016b. Stress assessment by prefrontal relative gamma. Frontiers in Computational Neuroscience, 10 (SEP), 101.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.2016.09.005Moreno, 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.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).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).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.2015.02.005Opisso, 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- 2560/8/3/036001Opisso, 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.22359Pérez-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.2016.99Piazza, 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.2016.03.007Pons, J.L., Rehabilitation Exoskeletal Robotics, IEEE Engineering in Medicine and Biology Magazine, 29-3, pp. 57-63, 2010.Rajasekaran, V., Aranda, J., Casals, A., Pons, J.L, 2014. An adaptive control str
    corecore