المؤلفون: Perdomo Cely, Alejandro Jesús

المساهمون: Pardo Beainy, Camilo Ernesto, Universidad Santo Tomás

مصطلحات موضوعية: Machine Learning, P300, Electroencephalography, Data Augmentation, Electroencefalografía, Aumento de Datos

جغرافية الموضوع: CRAI-USTA Tunja

وصف الملف: application/pdf

العلاقة: Amarillo, M. (2022). Componentes Comunes del ERP, Parte 1. Bogotá.; Biarnés Rabella, C. (2018). Diseño, caracterización y evaluación de electrodos capacitivos para la medida de ECG y EEG. Universitat Politécnica de Catalunya, 12-15.; Blanco Díaz, C. F., & Ruiz Olaya, A. F. (2019). Caracterización de señales de EEG relacionadas a potenciales evocados visuales en estado estacionario. Ontare, 18-20.; Broggi Angulo, O. A., Koc Gonzáles, D. G., & Martinez Esteban, P. C. (2022). Guía de procedimiento de electroencefalografía y videoelectroencefalografía. San Borja: Ministerio de Salud de la República del Perú.; Chandra Poonia, R., Singh, V., & Ranjan Nayak, S. (2022). Deep Learning for Sustainable Agriculture, A volume in Cognitive Data Science in Sustainable Computing. India: Elsevier.; Cohen, M. X. (2014). Advantages and Limitations of Time- and Time-Frequency-Domain Analyses. In M. X. Cohen, Analyzing Neural Time Series Data, Theory and Practice (pp. 15-30). London: The MIT Press.; El sistema 10-20 se utiliza en electroencefalografía (EEG). (s.f.). Obtenido de GVB geliMED GmbH: https://gvb-gelimed.com/es/10-20-elektrodensystem-in-der-elektroenzephalografie-eegTest/; Electroencefalografía (EEG). (2018). Obtenido de BrainSigns srl: https://brainsigns.com/es/science/s2/technologies/eegTest; Gannouni, S., Aledaily, A., Belwafi, K., & Aboalsamh, H. (2021). Emotion detection using electroencephalography signals and a zero time windowing based epoch estimation and relevant electrode identifcation. Nature Portfolio, 5-7.; García, T. T. (2011). Manual básico para enfermeros en electroencefalografía. Especial, 29-33.; Gonzales, L. (19 de Julio de 2019). K Vecinos más Cercanos – Teoría. Obtenido de aprendeIA: https://aprendeia.com/algoritmo-k-vecinos-mas-cercanos-teoria-machine-learningTest/; Hinrichs, H. (2004). Electroencephalography. In J. Moore, & G. Zouridakis, Biomedical Technology and Devices Handbook (pp. 153-173). Boca Raton: CRC Press LLC.; Hojas, I. M. (s.f.). Regresión Logística en Python. Obtenido de Stat Developer: https://www.statdeveloper.com/regresion-logistica-en-pythonTest/; Kumar, S. (19 de Julio de 2019). Data Augmentation Increases Accuracy of your model — But how ? Obtenido de Medium: https://medium.com/secure-and-private-ai-writing-challenge/data-augmentation-increases-accuracy-of-your-model-but-how-aa1913468722Test; Macías Macías, J. M., Ramirez Quintana, J. A., Méndez Aguirre, J. S., Chacón Murgia, M. I., & Corral Sáenz, A. D. (2020). Procesamiento Embebido de P300 Basado en Red Neuronal Convolucional para Interfaz Cerebro-Computadora Ubicua. ReCIBE. Revista electrónica de Computación, Informática, Biomédica y Electrónica, vol. 9, núm. 2, 1-24. Obtenido de https://www.redalyc.org/journal/5122/512267931005/htmlTest/; Morillo, L. E. (s.f.). ANÁLISIS VISUAL DEL ELECTROENCEFALOGRAMA. 145-153.; N.N. (27 de Septiembre de 2023). Desviación Típica. Obtenido de Wikipedia: https://es.wikipedia.org/wiki/DesviaciTestón_típica; Nunez, P. L., & Srinivasan, R. (2006). Recording Strategies, Reference Issues, and Dipole Localization. In P. L. Nunez, & R. Srinivasan, Electric Fields of the Brain, The Neurophysics of EEG (pp. 275-313). New York: Oxford University Press.; Peirce, J. G. (2019). PsychoPy2: Experiments in behavior made easy. Obtenido de Behavior research methods: https://doi.org/10.3758/s13428-018-01193-yTest; Razavi, M., Janfaza, V., Yamauchi, T., Leontyev, A., Longmire-Monford, S., & Orr, J. (2021). OpenSync: An opensource platform for synchronizing multiple measures in neuroscience experiments. 3-7.; Ríos P., L., & Álvarez D., C. (2013). Epilepsy diagnostic: update in eeg contribution. Revista Médica Clínica Las Condes, 953-957.; Romo, R. (s.f.). Árboles de Decisión / Decision Trees con python. Obtenido de Rubén J. Romo: https://rubenjromo.com/decision-treesTest/; Sherman, D., & Walterspacher, D. (2006). Electroencephalography. In J. G. Webster, Encyclopedia of Medical Devices and Instrumentation (pp. 62-83). Hoboken: John Wiley & Sons, Inc.; Urgilés Cárdenas, D. F., & Vásquez Rodríguez, G. J. (2017). Implementación de un Sistema BCI para el Análisis del Comportamiento de Bioseñales Neurológicas. 14-32.; Wallisch, P., Lusignan, M. E., Benayoun, M. D., Baker, T. I., Dickey, A. S., & Hatsopoulos, N. G. (2014). Matlab Tutorial. In P. Wallisch, M. E. Lusignan, M. D. Benayoun, T. I. Baker, A. S. Dickey, & N. G. Hatsopoulos, Matlab for Neuroscientists (pp. 38-53). Oxford: Elsevier.; Wood, C. C., Truett, A., Goff, W. R., Williamson, P. D., & Spencer, D. D. (2008). On the Neural Origin of P300 in Man. Science Direct, 51-56.; Zhuang, P., Toro, C., Grafman, J., Manganotti, P., Leocani, L., & Hallett, M. (1996). Event-related desynchronization (ERD) in the alpha frequency during development of implicit and explicit learning. Elsevier, 1-8.; Perdomo Cely, A. J. (2024). Uso de Machine Learning para detectar señales cerebrales de tipo P300 generando estímulos visuales y auditivos. [Trabajo de Grado, Universidad Santo Tomás]. Repositorio Institucional.; http://hdl.handle.net/11634/55193Test; reponame:Repositorio Institucional Universidad Santo Tomás; instname:Universidad Santo Tomás; repourl:https://repository.usta.edu.coTest

الإتاحة: https://doi.org/10.3758/s13428-018-01193-yTest
http://hdl.handle.net/11634/55193Test

المؤلفون: Guerrero Giraldo, María Camila, Parada Celis, Juan Sebastián

المساهمون: Espitia Cuchango, Helbert Eduardo

مصطلحات موضوعية: Electroencefalografía, EEG, Análisis de señales, Análisis de Fourier, Extracción de características, Aprendizaje automático, Técnicas de clasificación, Regresión logística, Redes neuronales, Máquinas de soporte vVectorial, Neurología, Epilepsia, Ingeniería de Sistemas - Tesis y Disertaciones Académicas, Epilepsia - Diagnóstico, Electroencefalogramas - Uso, Epilepsia - Clasificación, Electroencephalography, Signal Analysis, Fourier analysis, Feature Extraction, Machine learning, Classification Techniques, Logistic regression, Neural Networks, Support vector machines, Neurology, Epilepsy

وصف الملف: pdf; application/pdf

العلاقة: http://hdl.handle.net/11349/25527Test

الإتاحة: http://hdl.handle.net/11349/25527Test

المؤلفون: Pineda Ríos, Wilmer, Carrillo Ramírez, Alexis, Garatejo Escobar, Olga

المصدر: Comunicaciones en Estadística; Vol. 10 No. 1 (2017); 129-144 ; Comunicaciones en Estadística; Vol. 10 Núm. 1 (2017); 129-144 ; 2339-3076 ; 2027-3355

مصطلحات موضوعية: Electroencephalography, functional data analysis, Fourier series, machine learning, functional k-means, functional principal component analysis, electroencefalografía (EEG), datos funcionales, series de Fourier, aprendizaje automático, k-medias funcional, análisis de componentes principales funcionales

وصف الملف: application/pdf; application/octet-stream

العلاقة: https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/3200/3445Test; https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/3200/3574Test; https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/3200Test

الإتاحة: https://doi.org/10.15332/s2027-3355.2017.0001.07Test
https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/3200Test

المؤلفون: Pineda Ríos, Wilmer, Carrillo Ramírez, Alexis, Garatejo Escobar, Olga

مصطلحات موضوعية: Electroencephalography, functional data analysis, Fourier series, machine learning, functional k-means, functional principal component analysis, electroencefalografía (EEG), datos funcionales, series de Fourier, aprendizaje automático, k-medias funcional, análisis de componentes principales funcionales

وصف الملف: application/pdf; application/octet-stream

العلاقة: https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/3200/3445Test; https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/3200/3574Test; Comunicaciones en Estadística; Vol. 10, Núm. 1 (2017); 129-144; https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/3200Test

الإتاحة: https://doi.org/10.15332/s2027-3355.2017.0001.07Test
https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/3200Test

المؤلفون: Martínez-Cagigal, V., Hornero, R.

المساهمون: Ministerio de Economía y Competitividad, European Regional Development Fund, Junta de Castilla y León, Universidad de Valladolid

مصطلحات موضوعية: Interfaces, Machine learning, Biomedical systems, Optimization and computational methods, Electroencephalography, Communication systems, Aprendizaje automático, Sistemas biomédicos, Optimización y métodos computacionales, Electroencefalografía, Sistemas de comunicación

العلاقة: Revista Iberoamericana de Automática e Informática industrial; info:eu-repo/grantAgreement/MINECO//TEC2014-53196-R/ES/CARACTERIZACION DE LA ACTIVIDAD NEURONAL EN LA ENFERMEDAD DE ALZHEIMER MEDIANTE LA TEORIA DE REDES COMPLEJAS: NUEVOS BIOMARCADORES PARA SU DIAGNOSTICO PRECOZ/; info:eu-repo/grantAgreement/Junta de Castilla y León//VA037U16/ES/DIAGNÓSTICO Y ESTIMACIÓN DE SEVERIDAD DEL SÍNDROME DE LA APNEA-HIPOPNEA DEL SUEÑO EN NIÑOS MEDIANTE PROCESADO AUTOMÁTICO DE SEÑALES XIMÉTRICAS/; https://doi.org/10.1016/j.riai.2017.07.003Test; urn:issn:1697-7912; http://hdl.handle.net/10251/143299Test; urn:eissn:1697-7920

الإتاحة: https://doi.org/10.1016/j.riai.2017.07.003Test
http://hdl.handle.net/10251/143299Test

المؤلفون: Martínez-Cagigal, V., Hornero, R.

المصدر: Revista Iberoamericana de Automática e Informática industrial; Vol. 14 No. 4 (2017); 372-383 ; Revista Iberoamericana de Automática e Informática industrial; Vol. 14 Núm. 4 (2017); 372-383 ; 1697-7920 ; 1697-7912

مصطلحات موضوعية: Interfaces, machine learning, biomedical systems, optimization and computational methods, electroencephalography, communication systems, aprendizaje automático, sistemas biomédicos, optimización y métodos computacionales, electroencefalografía, sistemas de comunicación

وصف الملف: application/pdf

العلاقة: http://polipapers.upv.es/index.php/RIAI/article/view/9189/9231Test; http://polipapers.upv.es/index.php/RIAI/article/view/9189Test

الإتاحة: https://doi.org/10.1016/j.riai.2017.07.003Test
http://polipapers.upv.es/index.php/RIAI/article/view/9189Test

المؤلفون: Silva Sandoval, Juan Francisco, Osorio Sánchez, Laura Sofía

المساهمون: Torres Villa, Robinson Alberto

مصطلحات موضوعية: Interfaz Cerebro Maquina, Machine Learning, TinyML, Sistema embebido, Electroencefalografía, Brain Computer Interface, Embedded systems, Electroencephalography

وصف الملف: application/pdf

العلاقة: https://repository.eia.edu.co/handle/11190/5755Test

الإتاحة: https://repository.eia.edu.co/handle/11190/5755Test

المؤلفون: Ortega Loaiza, Christian Ortega

المساهمون: Niño Vásquez, Luis Fernando, LABORATORIO DE INVESTIGACIÓN EN SISTEMAS INTELIGENTES - LISI

المصدر: Repositorio UN
Universidad Nacional de Colombia
instacron:Universidad Nacional de Colombia

مصطلحات موضوعية: Dimensión Fractal, QDA, 004 - Procesamiento de datos Ciencia de los computadores [000 - Ciencias de la computación, información y obras generales], Emotions, Brain research, Wavelet Analysis, Electroencephalography, Fractal Dimension, Interfaces Cerebro-Computador, Machine Learning, Emociones, Análisis de ondículas, Brain-Computer Interfaces, Investigación sobre el cerebro, Aprendizaje Automático, Electroencefalografía

وصف الملف: 122 páginas; application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2f63d53a92b78fd2ea2048b00036fa87Test
https://repositorio.unal.edu.co/handle/unal/79832Test

المؤلفون: Ortega Loaiza, Christian Ortega

المساهمون: Niño Vásquez, Luis Fernando, LABORATORIO DE INVESTIGACIÓN EN SISTEMAS INTELIGENTES - LISI

مصطلحات موضوعية: 000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadores, Emociones, Emotions, Aprendizaje Automático, Dimensión Fractal, Interfaces Cerebro-Computador, Análisis de ondículas, Electroencefalografía, QDA, Wavelet Analysis, Machine Learning, Fractal Dimension, Electroencephalography, Brain-Computer Interfaces, Investigación sobre el cerebro, Brain research

وصف الملف: 122 páginas; application/pdf

العلاقة: Badcock, Nicholas A.; Mousikou, Petroula; Mahajan, Yatin; de Lissa, Peter; Thie, Johnson; McArthur, Genevieve: Validation of the Emotiv EPOC(®) EEG gaming system for measuring research quality auditory ERPs. En: PeerJ 1 (2013), Nr.1, p. e38; Bos, Danny O.: EEG-based emotion recognition. En: The Influence of Visual and Auditory Stimuli (2006), p. 1–17; Bradley, Margaret M.; Lang, Peter J.: Measuring emotion: The self-assessment ma- nikin and the semantic differential. En: Journal of Behavior Therapy and Experimental Psychiatry 25 (1994), Nr. 1, p. 49–59; Lang, Peter J.: The International Affective Digitized Sounds (2nd Edition; IADS-2): Affective ratings of sounds and instruction manual. Technical report B-3. En: Technical report B-3. (2007); Cabredo, Rafael; Legaspi, Roberto; Inventado, Paul S.; Numao, Masayuki: Dis- covering emotion-inducing music features using EEG signals. 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الإتاحة: https://repositorio.unal.edu.co/handle/unal/79832Test
https://repositorio.unal.edu.coTest/

المؤلفون: Ramírez-Archila, Juan Sebastián

المساهمون: Orjuela-Cañón, Alvaro David

المصدر: instname:Universidad del Rosario

مصطلحات موضوعية: Aprendizaje automático, BCI, Electroencefalografia, Intención de movimiento, Tetraplejía, Ciencias médicas, Medicina, Medicina experimental, Sistemas, Electroencephalography, Intention to move, Tetraplegia, Machine learning

وصف الملف: application/pdf

العلاقة: https://repository.urosario.edu.co/handle/10336/24431Test; https://doi.org/10.48713/10336_24431Test

الإتاحة: https://doi.org/10.48713/10336_24431Test
https://repository.urosario.edu.co/handle/10336/24431Test