نتائج البحث - "Motor Imagery"

1

Hybrid classification model for eye state detection using electroencephalogram signals

المؤلفون: Shwet Ketu, Pramod Kumar Mishra

المصدر: Cogn Neurodyn

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4eb762740c99b0a5e27f2298bddedd4bTest
https://doi.org/10.1007/s11571-021-09678-xTest

2

Predictors of real-time fMRI neurofeedback performance and improvement: A machine learning mega-analysis

المؤلفون: Andrew A. Nicholson, Jong-Hwan Lee, Jerzy Bodurka, Cindy Lor, Stavros Skouras, R. Alison Adcock, Ruth A. Lanius, Benjamin Becker, David Steyrl, Tabea Kamp, Nan-kuei Chen, Matthias Kirschner, Michael Marxen, Renate Schweizer, Kirsten Emmert, Amelie Haugg, Jeff MacInnes, Catharina Zich, Fabian M. Renz, Theo Marins, Kathryn C. Dickerson, Marina Papoutsi, Sook-Lei Liew, Tibor Auer, Gustavo S. P. Pamplona, R. Cameron Craddock, Dong Youl Kim, Yury Koush, Ralf Veit, Talma Hendler, Maartje S. Spetter, Marcus Herdener, Kathrin Cohen Kadosh, Shuxia Yao, Dimitri Van De Ville, Sebastian J. Götzendorfer, Bettina Sorger, Frank Scharnowski, Kymberly D. Young, Nikolaus Weiskopf, Manfred Hallschmid, Jackob N. Keynan, Amalia McDonald, Simon H. Kohl, Ronald Sladky, Sven Haller, Lydia Hellrung, Fukuda Megumi

المساهمون: Vision, RS: FPN CN 1

المصدر: NeuroImage
Neuroimage, 237:118207. Elsevier Science
NeuroImage, Vol 237, Iss, Pp 118207-(2021)
Neuroimage 237:118207 (2021)
NeuroImage 237, 118207-(2021). doi:10.1016/j.neuroimage.2021.118207

مصطلحات موضوعية: Adult, Open science, Mega-analysis, Cognitive Neuroscience, Psychological intervention, Neurosciences. Biological psychiatry. Neuropsychiatry, Dysfunctional family, Machine learning, computer.software_genre, 050105 experimental psychology, MOTOR IMAGERY, 03 medical and health sciences, 0302 clinical medicine, Motor imagery, Neuroimaging, Humans, Learning, BRAIN ACTIVATION, 0501 psychology and cognitive sciences, ddc:610, 10. No inequality, Functional Mri, Machine Learning, Neurofeedback, Real-time Fmri, Functional MRI, FEEDBACK, business.industry, Functional Neuroimaging, 05 social sciences, MEMORY, ATTENTION, EFFICACY, Magnetic Resonance Imaging, REDUCTION, SELF-REGULATION, Neurology, CORTEX ACTIVITY, Real-time fMRI, Artificial intelligence, Mega analysis, Psychology, business, RESONANCE-IMAGING NEUROFEEDBACK, computer, 030217 neurology & neurosurgery, RC321-571, Mental image

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e78400d6f2b08796d6e691d317a0aab0Test
https://hdl.handle.net/21.11116/0000-0008-9C56-8Test

3

Optimization of Task Allocation for Collaborative Brain–Computer Interface Based on Motor Imagery

المؤلفون: Bin Gu, Minpeng Xu, Lichao Xu, Long Chen, Yufeng Ke, Kun Wang, Jiabei Tang, Dong Ming

المصدر: Frontiers in Neuroscience
Frontiers in Neuroscience, Vol 15 (2021)

مصطلحات موضوعية: Scheme (programming language), Computer science, collaborative brain-computer interfaces, Neurosciences. Biological psychiatry. Neuropsychiatry, Machine learning, computer.software_genre, 050105 experimental psychology, Instruction set, 03 medical and health sciences, motor imagery, 0302 clinical medicine, Motor imagery, 0501 psychology and cognitive sciences, Set (psychology), Original Research, computer.programming_language, Brain–computer interface, Division of work, business.industry, General Neuroscience, 05 social sciences, task allocation, Workload, Task (computing), common-work, Artificial intelligence, division-of-work, business, computer, 030217 neurology & neurosurgery, RC321-571, Neuroscience

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17373b48d7da9e3bf6ee735a1e1d7f14Test
https://doi.org/10.3389/fnins.2021.683784Test

4

An fNIRS-Based Motor Imagery BCI for ALS: A Subject-Specific Data-Driven Approach

المؤلفون: John McLinden, Sarah M Hosni, Yalda Shahriari, Seyyed Bahram Borgheai

المصدر: IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28:3063-3073

مصطلحات موضوعية: Support Vector Machine, Computer science, Biomedical Engineering, Electroencephalography, 050105 experimental psychology, Data-driven, 03 medical and health sciences, 0302 clinical medicine, Motor imagery, Discriminative model, Internal Medicine, medicine, Humans, 0501 psychology and cognitive sciences, Brain–computer interface, Spectroscopy, Near-Infrared, medicine.diagnostic_test, business.industry, General Neuroscience, Subject specific, Amyotrophic Lateral Sclerosis, 05 social sciences, Rehabilitation, Pattern recognition, Support vector machine, Brain-Computer Interfaces, Imagination, Artificial intelligence, Functional magnetic resonance imaging, business, 030217 neurology & neurosurgery

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::484c4b41b4ca5c7387d3136f6dbf4c3aTest
https://doi.org/10.1109/tnsre.2020.3038717Test

5

CNN-based framework using spatial dropping for enhanced interpretation of neural activity in motor imagery classification

المؤلفون: Carlos Daniel Acosta-Medina, Germán Albeiro Castaño-Duque, Diego Fabian Collazos-Huertas, Germán Castellanos-Domínguez, Andrés Marino Álvarez-Meza

المصدر: Brain Informatics, Vol 7, Iss 1, Pp 1-13 (2020)
Brain Informatics

مصطلحات موضوعية: Computer science, Brain activity and meditation, Cognitive Neuroscience, lcsh:Computer applications to medicine. Medical informatics, Convolutional neural network, 050105 experimental psychology, 03 medical and health sciences, 0302 clinical medicine, Motor imagery, 0501 psychology and cognitive sciences, Continuous wavelet transform, Interpretability, lcsh:Computer software, business.industry, Research, 05 social sciences, Convolutional Neural Networks, Spectral density, Pattern recognition, Thresholding, Computer Science Applications, lcsh:QA76.75-76.765, Neurology, lcsh:R858-859.7, Artificial intelligence, business, Spatial dropping, 030217 neurology & neurosurgery, Interpolation

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e05b69d1158bdb4c967ff5c41204bf61Test
http://link.springer.com/article/10.1186/s40708-020-00110-4Test

6

Deep Neural Regression Prediction of Motor Imagery Skills Using EEG Functional Connectivity Indicators

المؤلفون: Carlos Daniel Acosta-Medina, Julian Caicedo-Acosta, German A. Castaño, Germán Castellanos-Domínguez, Andrés Marino Álvarez-Meza

المصدر: Sensors
Volume 21
Issue 6
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 1932, p 1932 (2021)

مصطلحات موضوعية: Computer science, Overfitting, Electroencephalography, lcsh:Chemical technology, Machine learning, computer.software_genre, Biochemistry, Article, 050105 experimental psychology, Analytical Chemistry, 03 medical and health sciences, 0302 clinical medicine, Motor imagery, motor imagery, media and information literacy, Neuroplasticity, medicine, lcsh:TP1-1185, 0501 psychology and cognitive sciences, Electrical and Electronic Engineering, Instrumentation, Sensorimotor cortex, Dropout (neural networks), Interpretability, medicine.diagnostic_test, business.industry, Functional connectivity, BCI inefficiency, 05 social sciences, functional connectivity, Neurophysiology, Atomic and Molecular Physics, and Optics, neural regression, Motor Skills, Brain-Computer Interfaces, Imagination, Wakefulness, Sensorimotor Cortex, Artificial intelligence, Transfer of learning, business, computer, 030217 neurology & neurosurgery

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49bec7779817ed9eded12836743a5e34Test

7

A Novel Multimodal Approach for Hybrid Brain–Computer Interface

المؤلفون: Zhe Sun, Feng Duan, Yu Liu, Zihao Huang

المصدر: IEEE Access. 8:89909-89918

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::b928a27209ed02c29f1943c348711fa7Test
https://doi.org/10.1109/access.2020.2994226Test

8

Comparison of Classification Accuracies Between Different Brain Areas During a Two-Class Motor Imagery in a fNIRS Based BCI

المؤلفون: Amir H. Moslehi, T. Claire Davies

المصدر: 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER).

مصطلحات موضوعية: business.industry, Computer science, 05 social sciences, Pattern recognition, Linear discriminant analysis, Class (biology), 050105 experimental psychology, Support vector machine, 03 medical and health sciences, 0302 clinical medicine, Motor imagery, Atmospheric measurements, Functional near-infrared spectroscopy, 0501 psychology and cognitive sciences, Artificial intelligence, business, 030217 neurology & neurosurgery, Brain–computer interface

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_________::ed5b5cd2405838be2ade0f893b407eceTest
https://doi.org/10.1109/ner49283.2021.9441376Test

9

Use of Both Eyes-Open and Eyes-Closed Resting States May Yield a More Robust Predictor of Motor Imagery BCI Performance

المؤلفون: Minkyu Ahn, Moonyoung Kwon, Hohyun Cho, Kyungho Won, Sung Chan Jun

المصدر: Electronics, Vol 9, Iss 690, p 690 (2020)
Electronics
Volume 9
Issue 4

مصطلحات موضوعية: Computer Networks and Communications, Computer science, lcsh:TK7800-8360, predictor, Electroencephalography, 050105 experimental psychology, 03 medical and health sciences, 0302 clinical medicine, Motor imagery, medicine, 0501 psychology and cognitive sciences, Electrical and Electronic Engineering, Amyotrophic lateral sclerosis, Eyes open, resting state, Brain–computer interface, Resting state fMRI, medicine.diagnostic_test, business.industry, 05 social sciences, lcsh:Electronics, Pattern recognition, medicine.disease, Brain state, Motor imagery brain-computer interface, Hardware and Architecture, Control and Systems Engineering, Signal Processing, Artificial intelligence, business, 030217 neurology & neurosurgery

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e78d6a6c01c3ee0c06a0464500dcbc7Test
https://www.mdpi.com/2079-9292/9/4/690Test

10

Temporal Combination Pattern Optimization Based on Feature Selection Method for Motor Imagery BCIs

المؤلفون: Jing Jiang, Chunhui Wang, Jinghan Wu, Wei Qin, Minpeng Xu, Erwei Yin

المصدر: Frontiers in Human Neuroscience
Frontiers in Human Neuroscience, Vol 14 (2020)

مصطلحات موضوعية: Computer science, Feature vector, Feature selection, 050105 experimental psychology, lcsh:RC321-571, 03 medical and health sciences, Behavioral Neuroscience, motor imagery (MI), 0302 clinical medicine, Motor imagery, feature selection, Lasso (statistics), common spatial pattern (CSP), 0501 psychology and cognitive sciences, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Biological Psychiatry, Brain–computer interface, Original Research, business.industry, electroencephalogram (EEG), 05 social sciences, Pattern recognition, Human Neuroscience, Mutual information, Linear discriminant analysis, brain–computer interface (BCI), Psychiatry and Mental health, Neuropsychology and Physiological Psychology, Neurology, Principal component analysis, support vector machine (SVM), Artificial intelligence, business, 030217 neurology & neurosurgery

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc40766c7c8d45ccf6e2569f3ac32c7cTest
https://pubmed.ncbi.nlm.nih.gov/32714167Test

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