Show simple item record

dc.contributor.advisorSarmiento Vela, Luis Carlosspa
dc.contributor.authorGarcia Niño, Deysi Lorenaspa
dc.date.accessioned2020-02-18T13:52:36Z
dc.date.available2020-02-18T13:52:36Z
dc.date.issued2019
dc.identifier.otherTO-23728
dc.identifier.urihttp://hdl.handle.net/20.500.12209/11450
dc.description.abstractEl presente documento corresponde a una tesis de grado para obtener el título de Maestría en Tecnologías de la Información Aplicadas a la Educación, que estudia la incidencia de la atención y la variación de los parámetros de un estímulo visual en el control de una interfaz cerebro computador.spa
dc.formatPDFspa
dc.format.mimetypeapplication/pdfspa
dc.language.isospa
dc.publisherUniversidad Pedagógica Nacionalspa
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourcereponame:Repositorio Institucional de la Universidad Pedagógica Nacionalspa
dc.sourceinstname:Universidad Pedagógica Nacionalspa
dc.subjectInterfaz cerebro computadorspa
dc.subjectPotenciales evocados de estado establespa
dc.subjectEstimulo visualspa
dc.subjectAtenciónspa
dc.title“Guía metodológica para el entrenamiento en potenciales evocados visuales de estado estacionario.”spa
dc.typeinfo:eu-repo/semantics/bachelorThesisspa
dc.publisher.programMaestría en Tecnologías de la Información aplicadas a la Educaciónspa
dc.rights.accessAcceso abiertospa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.relation.referencesAbigail Dickinson, Rosanna Gomez, Myles Jones, Vance Zemon, Elizabeth Milne, Lateral inhibition in the autism spectrum: An SSVEP study of visual cortical lateral interactions, Neuropsychologia, Volume 111, 2018,spa
dc.relation.referencesA. W. Toga and J. C. Mazziotta, Brain Mapping: The Methods: Academic Press, 2002.spa
dc.relation.referencesB. Allison, T. Luth, D. Valbuena, A. Teymourian, I. Volosyak, A. Graser, "Demografía Bci: ¿Cuántas (y qué tipo de) personas pueden usar un ssvep bci?", Neural Systems and Ingeniería de Rehabilitación IEEE Transacciones en , vol. 18, no. 2, pp. 107-116, abril de 2010.spa
dc.relation.referencesBieger, J., Molina, G. G., & Zhu, D. (2010, August). Effects of stimulation properties in steadystate visual evoked potential based brain-computer interfaces. In Proceedings of 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 3345-8). Engineering in Medicine and Biology Society.spa
dc.relation.referencesBravo, E. F. C., & Aristizábal, J. E. C. (2016). Una prueba fuera del laboratorio de una interfaz cerebro computador basada en potenciales de estado estable evocados visualmente. Tecnura, 20(48), 41-52.spa
dc.relation.referencesBroadbent, D. E., Cooper, P. F., FitzGerald, P., & Parkes, K. R. (1982). The cognitive failures questionnaire (CFQ) and its correlates. British journal of clinical psychology, 21(1), 1-16.spa
dc.relation.referencesBroadbent, D., Cooper, P., Fitzgerald, P., & Parkes, K. (2011). The Cognitive Failures Questionnaire and it’s correlates. Br J Clin Psychol, 25, 285-299.spa
dc.relation.referencesBobrov, P., Frolov, A., Cantor, C., Fedulova, I., Bakhnyan, M., & Zhavoronkov, A. (2011). Brain-computer interface based on generation of visual images. PloS one, 6(6), e20674.spa
dc.relation.referencesB. Schack y G. Witte, Parametrische Methoden der dynamischen Spektralanalyse und ihre Anwendung in der Biosignalanalyse, Biomedizinische Technik, nº 38, pp. 79-80, 1993.spa
dc.relation.referencesC. Guger, B. Allison, C. Hintermueller, R. Prueckl, B. Grosswind-Hager, C. Kapeller, G. Edlinger, "Bajo rendimiento en SSVEP BCI: son peores sujetos simplemente más lento?", Actas de la Conferencia internacional anual del IEEE EMBS , pp. 3833-3836, 2012.spa
dc.relation.referencesC. Guger, B. Allison, B. Growindhager, R. Pruckl, C. Hintermuller, C. Kapeller, M. Bruckner, G. Krausz, G. Edlinger, "¿Cuántas personas podrían usar un SSVEP BCI?", Fronteras en neurociencia , vol. 6 de 2012.spa
dc.relation.referencesCecotti, H., & Rivet, B. (2011, May). Effect of the visual signal structure on steady-state visual evoked potentials detection. In 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 657-660). IEEE.spa
dc.relation.referencesC. Jia , X. Gao , B. Hong , S. Gao Codificación mixta de frecuencia y fase en la interfaz cerebrocomputadora basada en SSVEP IEEE Transactions on Bio-medical Engineering , 58 ( 2011 ) , págs. 200 - 206spa
dc.relation.referencesCheng, M.; Gao, X.; Gao, S. y Dingfeng, X. (octubre de 2002). Design and Implementation of a Brain-Computer Interface with High Transfer Rates. IEEE Transactions on Biomedical Engineering, 49(10), 1181-1186.spa
dc.relation.referencesCheng , X. Gao , S. Gao , B. Wang Extracción de frecuencia de estimulación en la interfaz cerebro-computadora basada en SSVEP Proc. Control neural de interfaz ( 2005 ) , pp. 64 - 67spa
dc.relation.referencesCurran, EA, Stokes, MJ: Aprender a controlar la actividad cerebral: una revisión de la producción y el control de los componentes del EEG para impulsar los sistemas de interfaz cerebro-computadora (BCI). Brain and Cognition 51, 326-336 (2003)spa
dc.relation.referencesD. Regan potenciales evocados en estado estacionario J. Opt. Soc. A.m. , 67 ( 1977 ) , pp. 1,475 mil – 1489.spa
dc.relation.referencesDiez, P. F., Müller, S. M. T., Mut, V. A., Laciar, E., Avila, E., Bastos-Filho, T. F., & Sarcinelli- Filho, M. (2013). Commanding a robotic wheelchair with a high-frequency steady-state visual evoked potential based brain–computer interface. Medical engineering & physics, 35(8), 1155-1164.spa
dc.relation.referencesDornhege, G., Blankertz, B., Curio, G., Müller, K.-R., 2004. Aumentar las tasas de transferencia de información en BCI por extensión CSP a multi-clase. Avances en sistemas de procesamiento de información neuronal, Vancouver, Canadá.spa
dc.relation.referencesD. Zhu, J. Bieger, G. García Molina, RM Aarts, "Una encuesta sobre los métodos de estimulación utilizados en los BCI basados en SSVEP", Computational Intelligence and Neuroscience , vol. 2010, pp. 1-12, 2010.spa
dc.relation.referencesD. Zhu, G. Garcia-Molina, V. Mihajlović, and R. Aarts, "Online BCI Implementation of High- Frequency Phase Modulated Visual Stimuli," Universal Access in Human-Computer Interaction. Users Diversity, vol. 6766, pp. 645-654, January 01 2011.spa
dc.relation.referencesEdlinger, G. y Guger, C. (1-4 de julio de 2012). A Hybrid Brain-Computer Interface for Improving the Usability of a Smart Home Control. Proceedings of 2012 ICME International Conference on Complex Medical Engineering. Kobe, Japón.spa
dc.relation.referencesEscudero, F. A., Solis-Escalante, T., Melgar, E., Valdes-Cristerna, R., & Yañez-Suarez, O. (2007). Registro de señales de EEG para aplicaciones de Interfaz Cerebro Computadora (BCI) basado en Potenciales Evocados Visuales de Estado Estacionario (SSVEP). In IV Latin American Congress on Biomedical Engineering 2007, Bioengineering Solutions for Latin America Health (pp. 87-90). Springer, Berlin, Heidelberg.spa
dc.relation.referencesEspinoza Montes, C. (2014). Metodología de investigación tecnológica Pensando en sistemas.spa
dc.relation.referencesFarwell L.A., Donchin E., “Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials”, Electroenceph. Clin. Neurophysiol., Vol. 70, Nº. 6, pp. 510-523, Diciembre 1988.spa
dc.relation.referencesG. Garcia Molina, V. Mihajlovic Spatial filters to detect steady-state visual evoked potentials elicited by high frequency stimulation: BCI application Biomed Tech, 55 (2010), pp. 173–182spa
dc.relation.referencesGao, X., Xu, D., Cheng, M., & Gao, S. (2003). A BCI-based environmental controller for the motion-disabled. IEEE Transactions on neural systems and rehabilitation engineering, 11(2), 137-140.spa
dc.relation.referencesGarcía Martínez, J., & Sánchez-Cánovas, J. (1994). Adaptación del cuestionario de fallos cognitivos de Broadbent, Cooper, Fitzgerald y Parkes (CFQ-Cognitive failures questionnaire). Análisis y Modificación de Conducta, 20 (73), 727-750.spa
dc.relation.referencesGuger C., Ramoser H., Pfurtscheller G., “Real-time EEG analysis with subject-specific spatial patterns for a brain-computer interface (BCI)”, IEEE Trans. Rehab. Eng., Vol. 8, Nº 4, pp. 447- 456, Diciembre 2000.spa
dc.relation.referencesH. Cecotti and B. Rivet, "Effect of the visual signal structure on Steady-State Visual Evoked Potentials detection," Acoustics, Speech and Signal Processing (ICASSP), pp. 657-660, 22-27 May 2011.spa
dc.relation.referencesHJ Hwang, JH Lim, YJ Jung, H. Choi, SW Lee, CH Im, "Desarrollo de un sistema de ortografía BCI basado en SSVEP que adopta un teclado LED estilo QWERTY", Joutnal of Neuroscience Methods , vol. 208, págs. 59, 2012.spa
dc.relation.referencesHACER. Won , Hwang H.-J. , S. Dähne , K.-R. Müller , Lee S.-W. Efecto de mayor frecuencia en la clasificación de potenciales evocados visuales en estado estacionario J. Neural Eng. , 13 ( 1 ) ( 2015 ) , p. 016014spa
dc.relation.referencesHOFFMAN, James B., SIMONS, Robert F., Houck, MICHAEL, R., Event Related Potentials Elicited by Controlled Technical and Automatic Detection, I. Performing Organization program Element. Department of Psychology, University of Delaware, 1998spa
dc.relation.referencesHovagim Bakardjian, Toshihisa Tanaka, Andrzej Cichocki, Optimization of SSVEP brain responses with application to eight-command Brain–Computer Interface, Neuroscience Letters, Volume 469, Issue 1, 2010,spa
dc.relation.referencesHwang, H.J.; Lim, J.H.; Jung, Y.J.; Choi, H. y Woo Lee, S. (30 de junio de 2012). Development of an SSVEP-Based BCI Spelling System Adopting a QWERTY-Style LED Keyboard. Journal of Neuroscience Methods, 59-65.spa
dc.relation.referencesHwang, H.J.; Lim, J.H.; Lee, J.H. e Im, C.H. (18-20 de febrero de 2013). Implementation of a Mental Spelling System Based on Steady-State Visual Evoked Potential (SSVEP). International Winter Workshop on Brain-Computer Interface (BCI). Gangwon, Corea del Sur.spa
dc.relation.referencesHortal, E.; Úbeda, A.; Iánez, E. y Azorín, J.M. (2014). Control of a 2 DoF robot using a Brain- Machine Interface. Computer Methods and Programs in Biomedicine, 116, 169-176. Iáñez, E.; Azorín, J.M.; Úbeda, A.; Fernández, J.M. y Fernández, E. (13 de diciembre de 2010). Mental Tasks-Based Brain-Robot Interface. Robotics and Autonomous Systems, 58(12), 1238-1245.spa
dc.relation.referencesInoue, K. I., Koike, E., Yanagisawa, R., Hirano, S., Nishikawa, M., & Takano, H. (2009). Effects of multi-walled carbon nanotubes on a murine allergic airway inflammation model. Toxicology and applied pharmacology, 237(3), 306-316.spa
dc.relation.referencesI. Volosyak, D. Valbuena, T. Lüth, T. Malechka, A. Gräser BCI demographics II: how many (and what kinds of) people can use a high-frequency SSVEP BCI? IEEE Trans Neural Syst Rehabil Eng, 19 (3) (2011), pp. 232–239spa
dc.relation.referencesIvan Volosyak, Felix Gembler, Piotr Stawicki, Age-related differences in SSVEP-based BCI performance, Neurocomputing, Volume 250, 2017.spa
dc.relation.referencesJ. Arnil, D. Anopas, M. Horapong, K. Luangrat, Y. Punsawad, and Y. Wongsawat, "Bci-based assistive robot arm," 7th International Symposium on Medical Information and Communication Technology (ISMICT), pp. 208- 212, 6-8 March 2013.spa
dc.relation.referencesJ. A. C. Molina, "SISTEMA DE RECONOCIMIENTO DE PATRONES DE POTENCIALES EVOCADOS VISUALES DE ESTADO ESTACIONARIO," Magister, INGENIERÍA BIOMÉDICA, ESCUELA DE INGENIERÍA DE ANTIOQUIA UNIVERSIDAD CES, ENVIGADO – MEDELLÍN, 2013.spa
dc.relation.referencesJeong-Hwan Lim, Jun-Hak Lee, Han-Jeong Hwang, Dong Hwan Kim, Chang-Hwan Im, Development of a hybrid mental spelling system combining SSVEP-based brain–computer interface and webcam-based eye tracking, Biomedical Signal Processing and Control, Volume 21, 2015, Pages 99-104, ISSN 1746-8094,spa
dc.relation.referencesJJ Vidal, "Hacia la comunicación directa cerebro-computadora", Revisión anual de biofísica y bioingeniería , vol. 2, págs. 157-80, 1973.spa
dc.relation.referencesJ. G. Webster, Medical Instrumentation Application and Design, 4th Edition ed.: Wiley, 2009.spa
dc.relation.referencesJY Hwang, MH Lee, SW Lee, "Un deletreador de interfaz cerebro-computadora usando SSVEP y P300 basados en estímulos periféricos", Conferencia Internacional de Invierno sobre Interfaz Cerebro-Computadora , pp. 77-78, 2017.spa
dc.relation.referencesKeith W. Jamison, Abhrajeet V. Roy, Sheng He, Stephen A. Engel, Bin He, SSVEP signatures f binocular rivalry during simultaneous EEG and fMRI, Journal of Neuroscience Methods, Volume 243, 2015,spa
dc.relation.referencesKeirn Z.A., Aunon J.I., “A new mode of communication between man and his surroundings”, IEEE Trans. Biomedical Engineering, Vol. 37, Nº 12, pp. 1209-1214, Diciembre 1990.spa
dc.relation.referencesKubler, B. Blankertz, KR Muller, C. Neuper, "Un modelo de bci-control", quinta conferencia internacional de BCI , 2011.spa
dc.relation.referencesL. Bi, XA Fan, Y. Liu, "Robots móviles controlados por el cerebro basados en EEG: una encuesta", IEEE Transactions on Human-Machine Systems , vol. 43, págs. 161-176, 2013.spa
dc.relation.referencesLin, Z., Zhang, C., Wu, W., & Gao, X. (2006). Frequency recognition based on canonical correlation analysis for SSVEP-based BCIs. IEEE transactions on biomedical engineering, 53(12), 2610-2614.spa
dc.relation.referencesLim, J.H.; Hwang, H. J. e Im, C.H. (18-20 de febrero de 2013). "Eyes-Closed" SSVEP-Based BCI for Binary Communication of Individuals with Impaired Oculomotor Function. International Winter Workshop on Brain-Computer Interface. Gangwon, Corea del Sur.spa
dc.relation.referencesLJ Trejo , R. Rosipal , B. Matthews Interfaces cerebro-computadora para control de cursor 1D y 2D: diseños que utilizan control volitivo del espectro EEG o potenciales evocados visuales en estado estacionario IEEE Trans. Syst neural. Rehabilitación Ing. , 14 ( 2006 ) , pp. 225 - 259spa
dc.relation.referencesL. Lun-De, L. Chin-Teng, K. McDowell, A. E. Wickenden, K. Gramann, J. Tzyy-Ping, et al., "Biosensor Technologies for Augmented Brain Computer Interfaces in the Next Decades," Proceedings of the IEEE, vol. 100, pp. 1553-1566, 2012.spa
dc.relation.referencesLopez-Gordo , A. Prieto , F. Pelayo , C. Morillas Uso de fase en interfaces cerebrocomputadora basadas en potenciales evocados visuales en estado estacionario Procesamiento de Cartas neuronales , 32 ( 2010 ) , pp. 1 - 9spa
dc.relation.referencesLópez, L., Mateo, D., & Olaya Pabón, M. C. (2013). Sistema de reconocimiento de patrones de potenciales evocados visuales de estado estacionario (Doctoral dissertation, Universidad EIA).spa
dc.relation.referencesL. Po-Lei, Y. Chia-Lung, J. Y. S. Cheng, Y. Chia-Yen, and L. Gong-Yau, "An SSVEP-Based BCI Using High Duty-Cycle Visual Flicker," Biomedical Engineering, IEEE Transactions, vol. 58, pp. 3350-3359, 2011.spa
dc.relation.referencesM. Cheng, X. Gao, S. Gao y D. Xu, "Diseño e implementación de una interfaz cerebrocomputadora con altas tasas de transferencia", IEEE Transactions On Biomedical Engineering, vol. 49, 2002.spa
dc.relation.referencesM. Middendorf , G. McMillan , G. Calhoun , KS Jones Interfaces cerebro-computadora basadas en la respuesta visual evocada en estado estacionario IEEE Trans. Rehabilitación Ing. , 8 ( 2000 ) , págs. 211 - 214spa
dc.relation.referencesMM Müller , S. Hillyard, Registro concurrente de potenciales relacionados con eventos estacionarios y transitorios como índices de atención selectiva visual-espacial Clin. Neurofisiol. , 111 ( 2000 ) , pp. 1.544 mil - 1552spa
dc.relation.referencesMM Müller , W. Teder-Sälejärvi , SA Hillyard El curso temporal de la facilitación cortical durante los cambios indicados de atención espacial at Neurosci , 1 ( 1998 ) , págs. 631 - 634spa
dc.relation.referencesMartinez, P.; Bakardjian, H. y Cichock, A. (22 de mayo de 2007). Fully Online Multicommand Brain-Computer Interface with Visual Neurofeedback Using SSVEP Paradigm. Computational Intelligence and Neuroscience, 1-9.spa
dc.relation.referencesMason S.G., Birch G.E., “A general framework for brain-computer interface design”, IEEE Trans. Neural Syst. and Rehab. Eng., Vol. 11, Nº. 1, pp. 70-85, Marzo 2003.spa
dc.relation.referencesMin Hye Chang, Jeong Su Lee, Jeong Heo, Kwang Suk Park, Eliciting dual-frequency SSVEP using a hybrid SSVEP-P300 BCI, Journal of Neuroscience Methods, Volume 258, 2016, Pages 104-113,spa
dc.relation.referencesMiner L.A., McFarland D.J., Wolpaw J.R., “Answering questions with an electroencephalogram-based brain-computer interface”, Arch. Phys. Med. Rehabil., Vol. 79, Nº. 9, pp. 1029-1033, Septiembre 1998.spa
dc.relation.referencesMüller, M. M., Picton, T. W., Valdes-Sosa, P., Riera, J., Teder-Sälejärvi, W. A., & Hillyard, S. A. (1998). Effects of spatial selective attention on the steady-state visual evoked potential in the 20–28 Hz range. Cognitive Brain Research, 6(4), 249-261.spa
dc.relation.referencesNakayama, K., & Martini, P. (2011). Situating visual search. Vision research, 51(13), 1526- 1537.spa
dc.relation.referencesNishifuji, S. y Kuroda, T. (28 de agosto a 1 de septiembre de 2012). Impact of Mental Focus on Steady-State Visually Evoked Potential under Eyes Closed Condition for Binary Brain Computer Interface. 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). San Diego, EE. UU.spa
dc.relation.referencesNg, D. W. K., Soh, Y. W., & Goh, S. Y. (2014, December). Development of an Autonomous BCI Wheelchair. In Computational Intelligence in Brain Computer Interfaces (CIBCI), 2014 IEEE Symposium on (pp. 1-4). IEEE.spa
dc.relation.referencesN. J. Nilsson, “Shakey the Robot”, Technical Note 323, Artificial Intelligence Center, Computer Science and Technology Division, SRI International, Menlo Park, CA, 1984. Peng, X., & Van Essen, D. C. (2005). Peaked encoding of relative luminance in macaque areas V1 and V2. Journal of neurophysiology, 93(3), 1620-1632.spa
dc.relation.referencesPiccini, L., Parini, S., Maggi, L., & Andreoni, G. (2006, January). A wearable home BCI system: preliminary results with SSVEP protocol. In 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference (pp. 5384-5387). IEEE.spa
dc.relation.referencesPF Diez , VA Mut , EM Avila Perona , E. Laciar Leber Control asíncrono de BCI utilizando SSVEP de alta frecuencia J. NeuroEng. Rehabilitación , 8 ( 1 ) ( 2011 ) , pp. 1 - 9spa
dc.relation.referencesPfurscheller G, Guger C., Müller G., Neuper C., “Brain oscillations control hand orthosis in a tetraplegic”, Neurosc. Letter, Vol. 292, Nº. 3, pp. 211-214, Octubre 2000.spa
dc.relation.referencesR. Prueckl, C. Guger, Control de un robot con una interfaz de computadora cerebral basada en potenciales evocados visuales en estado estacionario, págs. 1-5, 2010.spa
dc.relation.referencesResalat, S.N.; Saba, V. y Afdideh, F. (2-3 de mayo de 2012). A Novel System for Driver's Sleepiness Detection Using SSVEP. 16th CSI International Symposium on Artificial Intelligence and Signal Processing (AISP). Fars, Irán.spa
dc.relation.referencesRichard M.G. Tello, Sandra M.T. Müller, Muhammad A. Hasan, André Ferreira, Sridhar Krishnan, Teodiano F. Bastos, An independent-BCI based on SSVEP using Figure-Ground Perception (FGP), Biomedical Signal Processing and Control, Volume 26, 2016, pages 69-79,spa
dc.relation.referencesS. Fox, Combo: Loose Leaf Version of Human Physiology with APR 3.0 Student Online Access Card: McGraw-Hill Companies,Incorporated, 2011.spa
dc.relation.referencesS. Johannes , TF Munte , HJ Heinze , GR Mangun, Luminance y efectos de atención espacial en el procesamiento visual temprano Brain Res Cogn Brain Res , 2 ( 1995 ) , págs. 189 - 205 Schurger, A. (2009). Un método MRI-compatible muy bajo para la estimulación visual dichoptic. Revista de métodos de neurociencia , 177 (1), 199-202.spa
dc.relation.referencesShyu, K.K.; Chiu, Y.J.; Lee, P.L.; Lee, M.H.; Sie, J.J.; Wu, C.H. et al. (julio de 2013). Total Design of an FPGA-Based Brain-Computer Interface Control Hospital Bed Nursing System. IEEE Transactions on Industrial Electronics, 60(7), 2731-2739.spa
dc.relation.referencesSingla, R. y Haseena, B.A. (julio de 2013). BCI Based Wheelchair Control Using Steady State Visual Evoked Potentials and Support Vector Machines. International Journal of Soft Computing and Engineering (IJSCE), 3(3), 46-52.spa
dc.relation.referencesSingla, R.; Khosla, A. y Jha, R. (2013). Influence of Stimuli Color on Steady-State Visual Evoked Potentials Based BCI Wheelchair Control. Journal of Biomedical Science and Engineering, 6(11), 1050-1055.spa
dc.relation.referencesK. Takano , S. Ikegami , T. Komatsu , K. Kansaku, Las matrices de parpadeo verde / azul para el P300 BCI mejoran la sensación subjetiva de comodidad, Neurosci Res Suppl , 65 ( 2009 ) , pág. S182spa
dc.relation.referencesTakeshi Sakurada, Toshihiro Kawase, Tomoaki Komatsu, Kenji Kansaku, Use of highfrequency visual stimuli above the critical flicker frequency in a SSVEP-based BMI, Clinical Neurophysiology, Volume 126, Issue 10, 2015,spa
dc.relation.referencesThomas, K. P., Vinod, A. P., & Guan, C. (2013, November). Enhancement of attention and cognitive skills using EEG based neurofeedback game. In 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER) (pp. 21-24). IEEE.spa
dc.relation.referencesVan Hemert, C. (2009). The impact of visual distractions in SSVEP-based BCI. In 11th Twente Student Conference on IT, Enschede 29th June.spa
dc.relation.referencesVaughan T.M., “Guest editorial brain-computer interface technology: a review of the second international meeting”, IEEE Trans. Rehab. Eng., Vol. 11, Nº. 2, pp. 94-109, Junio 2003.spa
dc.relation.referencesVliet, M.V.; Robben, A.; Chumerin, N.; Manyakov, N.V.; Combaz, A. y Van Hulle, M.M. (enero 9-11 de 2012). Designing a brain-computer interface controlled video-game using consumer grade EEG hardware. Biosignals and Biorobotics Conference (BRC), 2012 ISSNIP. Manaos, Brasil.spa
dc.relation.referencesWolpaw J.R., McFarland D.J. Neat G.W. and Porneris C.A. (2008). An EEG-based braincomputer interface for cursor control. Electroencephalographic ClinicalNeurophysiology, 78(3), 252-259.spa
dc.relation.referencesWolpaw J.R., Birbaumer N., Heetderks W. J., McFarland D.J., Peckham P.H., Schalk G., Donchin E., Quatrano L.A., Robinson C.J., Vaughan T.M., “Brain-computer interface technology: a review of the first international meeting”, IEEE Trans. Rehab. Eng., Vol. 8, Nº. 2, pp. 164- 173, Junio 2000.spa
dc.relation.referencesWolpaw J. R., Birbaumer N., McFarland D. J., Pfurtscheller G., Vaughan T. M. “Braincomputer interfaces for communication and control” Clinical Neurophysiology, Vol. 113, Nº. 6, pp. 767-791, Junio 2002.spa
dc.relation.referencesWolpaw J.R., McFarland D.J., Cacace A.T., “Preliminary studies for a direct brain-tocomputer parallel interface”, M.S. Neff and J. Sinocchi (Eds.), Projects for Person with Disabilities (IBM Technical Symposium), pp. 11-20, 1986.spa
dc.relation.referencesWolpaw J.R., Mc Farland D.J., Neat G.W., Forneris C.A., “An EEGbased brain-computer interface for cursor control”, Electroenceph. Clin. Neurophysiol, Vol. 78, Nº. 3, pp. 252-259, Marzo 1991.spa
dc.relation.referencesX. Gao , D. Xu , M. Cheng , S. Gao Un controlador ambiental basado en BCI para discapacitados por movimiento IEEE Trans. Syst neural. Rehabilitación Ing. , 11 ( 2003 ) , págs. 137 – 140spa
dc.relation.referencesYoshimura, N., Itakura, N., & Fazel, R. (2011). Usability of transient VEPs in BCIs. In Recent Advances in Brain-Computer Interface Systems (pp. 119-134). InTech.spa
dc.relation.referencesY. Wang, R. Wang, X. Gao, and S. Gao, "Brain-computer interface based on the highfrequency steady-state visual evoked potential," Neural Interface and Control, Proceedings., pp. 37-39, 26-28 May 2005.spa
dc.relation.referencesY. Wang, R. Wang, X. Gao, B. Hong, S. Gao, "Una interfaz práctica cerebro-computadora basada en vep", Ingeniería de Sistemas Neuronales y Rehabilitación IEEE Transactions on , vol. 14, no. 2, pp. 234-240, junio de 2006.spa
dc.relation.referencesZemon, V., & Ratliff, F. (1982). Visual evoked potentials: evidence for lateral interactions. Proceedings of the National Academy of Sciences, 79(18), 5723-5726.spa
dc.relation.referencesZhang, Y.; Xu, P.; Tiejun, L.; Hu, J.; Zhang, R. y Yao, D. (6 de marzo de 2012). Multiple Frequencies Sequential Coding for SSVEP-Based Brain-Computer Interface. PLoS One, 7(3), 1-9.spa
dc.relation.referencesZhenghua Wu, Application of a reconstruction technique in detection of dominant SSVEP frequency, Biomedical Signal Processing and Control, Volume 40, 2018, Pages 226-233,spa
dc.publisher.facultyFacultad de Ciencia y Tecnologíaspa
dc.type.localTesis/Trabajo de grado - Monografía - Maestríaspa
dc.type.coarhttp://purl.org/coar/resource_type/c_bdcceng
dc.type.driverinfo:eu-repo/semantics/masterThesiseng
dc.identifier.instnameinstname:Universidad Pedagógica Nacionalspa
dc.identifier.instnameinstname:Universidad Pedagógica Nacionalspa
dc.identifier.reponamereponame: Repositorio Institucional UPNspa
dc.identifier.repourlrepourl: http://repositorio.pedagogica.edu.co/
dc.type.versioninfo:eu-repo/semantics/acceptedVersioneng
dc.type.versionhttp://purl.org/coar/version/c_ab4af688f83e57aaeng
dc.rights.creativecommonsAttribution-NonCommercial-NoDerivatives 4.0 International


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

https://creativecommons.org/licenses/by-nc-nd/4.0/
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/