المؤلفون: Kim, Vella Shin-Hyung

مصطلحات موضوعية: Brain-Computer Interface, Pediatrics, Machine Learning, Electroencephalography, Motor Imagery, Education--Sciences, Rehabilitation and Therapy, Artificial Intelligence

الإتاحة: https://doi.org/10.11575/prism/46381Test
https://prism.ucalgary.ca/handle/1880/118784Test

المؤلفون: Castellanos Delgado, Johan Sebastian

المساهمون: Gallo Sanchez, Luisa Fernanda, Gonzalez Morales, David Fernando, La Cruz Punte, Alexandra

مصطلحات موضوعية: Señales electroencefalográficas, Deep learning, Motor imagery, Electroencephalogram, Motor imagery classification, Brain-computer interface, Aprendizaje profundo, Imágenes motoras, Electroencefalograma, clasificación de imágenes motoras, Interfaz Cerebro-Computadora

وصف الملف: 116 páginas; application/pdf

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الإتاحة: https://doi.org/20.500.12313/4087Test
https://hdl.handle.net/20.500.12313/4087Test

المؤلفون: Batistić, Luka

المساهمون: Ljubić, Sandi, Štajduhar, Ivan

مصطلحات موضوعية: kinesthetic vibrotactile guidance, motor imagery, brain-computer interface, information entropy, time-frequency representations, machine lea, kinestetičko vibrotaktilno navođenje, motorička predodžba, sučelje mozak-računalo, informacijska entropija, vremensko-frekvencijski prikazi, strojno učenje, TEHNIČKE ZNANOSTI. Računarstvo, TECHNICAL SCIENCES. Computing, Računalna znanost i tehnologija. Računalstvo. Obrada podataka, Computer science and technology. Computing. Data processing, info:eu-repo/classification/udc/004(043.3)

وصف الملف: application/pdf

العلاقة: https://www.unirepository.svkri.uniri.hr/islandora/object/riteh:4222Test; https://urn.nsk.hr/urn:nbn:hr:190:791546Test; https://www.unirepository.svkri.uniri.hr/islandora/object/riteh:4222/datastream/PDFTest

الإتاحة: https://www.unirepository.svkri.uniri.hr/islandora/object/riteh:4222Test
https://urn.nsk.hr/urn:nbn:hr:190:791546Test
https://www.unirepository.svkri.uniri.hr/islandora/object/riteh:4222/datastream/PDFTest

المؤلفون: Velásquez Martínez, Luisa Fernanda

المساهمون: Castellanos Dominguez, Cesar Germán, Grupo de Control y Procesamiento Digital de Señales, https://scholar.google.com.co/citations?user=kzOD4RQAAAAJ&hl=enTest

مصطلحات موضوعية: 000 - Ciencias de la computación, información y obras generales, Motor Imagery, Event-related synchronization, Entropy, Brain-computer interface, BCI inefficiency, Regression networks, Multi-subject analysis, Imaginación Motora, Sincronización relacionada a eventos, Entropia, Interfaces cerebro computador, Ineficiencia en BCI, Redes de regresión, Análisis multi-sujeto

وصف الملف: xii, 77 páginas; application/pdf

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Zhu, "Fast recognition of bci-ine cient users using physiological features from eeg signals: A screening study of stroke patients," Frontiers in neuroscience, vol. 12, p. 93, 2018.; https://repositorio.unal.edu.co/handle/unal/84556Test; Universidad Nacional de Colombia; Repositorio Institucional Universidad Nacional de Colombia; https://repositorio.unal.edu.coTest/

الإتاحة: https://repositorio.unal.edu.co/handle/unal/84556Test
https://repositorio.unal.edu.coTest/

المؤلفون: Gómez Giraldo, Valeria, Jiménez Mojica, Adrián Javier

المساهمون: Lizarazo, Juan Carlos, Bonilla Carreño, Fidel Mauricio

مصطلحات موضوعية: Imaginación Motora, Interfaz Cerebro-Computador, Electroencefalografía, Periférico Mecánico, 621.381, Motor Imagery, Electroencephalography, Brain-Computer Interface, Mechanical Peripheral, Ingeniería de prototipos, Músculos -- Contracción

وصف الملف: application/pdf

العلاقة: http://hdl.handle.net/20.500.12495/3828Test; instname: Universidad El Bosque; reponame: Repositorio Institucional Universidad El Bosque; repourl: https://repositorio.unbosque.edu.coTest

الإتاحة: https://doi.org/20.500.12495/3828Test
https://hdl.handle.net/20.500.12495/3828Test

المؤلفون: Rimbert, Sébastien

المساهمون: Université de Lorraine, Hutt, Axel

مصطلحات موضوعية: Stimulation du nerf médian, Interface cerveau-ordinateur, Électroencéphalographie, Cortex moteur, Anesthésie générale, Réveil peropératoire, Imagination de mouvement, Tentative de mouvement, Activité cérébrale motrice, Median nerve stimulation, Brain-Computer Interface, Electroencephalography, Motor cortex, General anesthesia, Intraoperative awareness, Motor imagery, Attempt movement, Cerebral motor activity, 004.019, 616.804 7547

العلاقة: http://www.theses.fr/2020LORR0056/documentTest

الإتاحة: http://www.theses.fr/2020LORR0056/documentTest

المؤلفون: Rimbert, Sébastien

المساهمون: Analysis and modeling of neural systems by a system neuroscience approach (NEUROSYS), Inria Nancy - Grand Est, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Complex Systems, Artificial Intelligence & Robotics (LORIA - AIS), Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Université de Lorraine, Axel Hutt

المصدر: https://hal.univ-lorraine.fr/tel-02949285Test ; Informatique [cs]. Université de Lorraine, 2020. Français. ⟨NNT : 2020LORR0056⟩.

مصطلحات موضوعية: Median nerve stimulation, Brain-Computer Interface, Electroencephalography, Motor cortex, General anesthesia, Intraoperative awareness, Motor imagery, Attempt movement, Cerebral motor activity, Stimulation du nerf médian, Interface cerveau-ordinateur, Électroencéphalographie, Cortex moteur, Anesthésie générale, Réveil peropératoire, Imagination de mouvement, Tentative de mouvement, Activité cérébrale motrice, [INFO]Computer Science [cs], [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], [SCCO.NEUR]Cognitive science/Neuroscience, [SCCO.COMP]Cognitive science/Computer science

العلاقة: NNT: 2020LORR0056; tel-02949285; https://hal.univ-lorraine.fr/tel-02949285Test; https://hal.univ-lorraine.fr/tel-02949285/documentTest; https://hal.univ-lorraine.fr/tel-02949285/file/DDOC_T_2020_0056_RIMBERT.pdfTest

الإتاحة: https://hal.univ-lorraine.fr/tel-02949285Test
https://hal.univ-lorraine.fr/tel-02949285/documentTest
https://hal.univ-lorraine.fr/tel-02949285/file/DDOC_T_2020_0056_RIMBERT.pdfTest

المؤلفون: Mousavi, Mahta

المساهمون: de Sa, Virginia R.

مصطلحات موضوعية: Electrical engineering, Cognitive psychology, Neurosciences, Brain-computer interface, Electroencephalography (EEG), Error-related brain activity, Feedback, Motor imagery, Riemannian geometry

وصف الملف: application/pdf

العلاقة: qt6nz1v1k3; https://escholarship.org/uc/item/6nz1v1k3Test; https://escholarship.org/content/qt6nz1v1k3/qt6nz1v1k3.pdfTest

الإتاحة: https://escholarship.org/uc/item/6nz1v1k3Test
https://escholarship.org/content/qt6nz1v1k3/qt6nz1v1k3.pdfTest

المؤلفون: Halme, Hanna-Leena

المساهمون: Parkkonen, Lauri, Prof., Aalto University School of Science, Department of Neuroscience and Biomedical Engineering, Finland, Perustieteiden korkeakoulu, School of Science, Neurotieteen ja lääketieteellisen tekniikan laitos, Department of Neuroscience and Biomedical Engineering, Aalto-yliopisto, Aalto University

مصطلحات موضوعية: Computer science, Medical sciences, MEG, motor imagery, brain–computer interface, sensorimotor rhythm, aivokäyttöliittymä, liikkeen kuvittelu, sensorimotorinen rytmi

وصف الملف: application/pdf

العلاقة: Aalto University publication series DOCTORAL THESES; 164/2022; [Publication 1]: Hanna-Leena Halme, Lauri Parkkonen. Comparing Features for Classification of MEG Responses to Motor Imagery. PLOS ONE, 11(12):e0168766, 12 2016. DOI:10.1371/journal.pone.0168766; [Publication 2]: Hanna-Leena Halme, Lauri Parkkonen. Across-subject offline decoding of motor imagery from MEG and EEG. Scientific Reports, 07 2018. Full text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-201808014095Test. DOI:10.1038/s41598-018-28295-z; [Publication 3]: Hanna-Leena Halme, Lauri Parkkonen. The effect of visual and proprioceptive feedback on sensorimotor rhythms during BCI training. PLOS ONE, 17(2): e0264354, 02 2022. DOI:10.1371/journal.pone.0264354; 1799-4942 (electronic); 1799-4934 (printed); 1799-4934 (ISSN-L); https://aaltodoc.aalto.fi/handle/123456789/117740Test; URN:ISBN:978-952-64-1015-9

الإتاحة: https://doi.org/10.1371/journal.pone.0168766Test
https://doi.org/10.1038/s41598-018-28295-zTest
https://doi.org/10.1371/journal.pone.0264354Test
https://aaltodoc.aalto.fi/handle/123456789/117740Test

المؤلفون: Ailsworth, James William Jr.

مرشدي الرسالة: Mechanical Engineering, Kurdila, Andrew J., Leonessa, Alexander, Batra, Dhruv

مصطلحات موضوعية: Brain-Computer Interface, Motor Imagery, Common Spatial Patterns, Riemannian Geometry

وصف الملف: ETD; application/pdf

الإتاحة: http://hdl.handle.net/10919/71371Test