A magnetoencephalography dataset for motor and cognitive imagery-based brain-computer interface

Código QR

A magnetoencephalography dataset for motor and cognitive imagery-based brain-computer interface

Measurement(s) brain physiology trait Technology Type(s) Magnetoencephalography Factor Type(s) age group • sex Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.13561976

Guardado en:

Detalles Bibliográficos
Autores principales:	Dheeraj Rathee, Haider Raza, Sujit Roy, Girijesh Prasad
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/275f143ab0d1404595e3d033152d8f9c
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

The Ensemble Machine Learning-Based Classification of Motor Imagery Tasks in Brain-Computer Interface
por: Abdulhamit Subasi, et al.
Publicado: (2021)

Motor imagery for severely motor-impaired patients: evidence for brain-computer interfacing as superior control solution.
por: Johannes Höhne, et al.
Publicado: (2014)

The Differences Between Motor Attempt and Motor Imagery in Brain-Computer Interface Accuracy and Event-Related Desynchronization of Patients With Hemiplegia
por: Shugeng Chen, et al.
Publicado: (2021)

A novel strategy for driving car brain–computer interfaces: Discrimination of EEG-based visual-motor imagery
por: Zhou Zhouzhou, et al.
Publicado: (2021)

Motor Imagery-Based Brain-Computer Interface Combined with Multimodal Feedback to Promote Upper Limb Motor Function after Stroke: A Preliminary Study
por: Yi-Qian Hu, et al.
Publicado: (2021)

Improving Motor Imagery-Based Brain-Computer Interface Performance Based on Sensory Stimulation Training: An Approach Focused on Poorly Performing Users
por: Sangin Park, et al.
Publicado: (2021)

Gustatory imagery reveals functional connectivity from the prefrontal to insular cortices traced with magnetoencephalography.
por: Masayuki Kobayashi, et al.
Publicado: (2011)

Magnetoencephalography Brain Signatures Relate to Cognition and Cognitive Reserve in the Oldest-Old: The EMIF-AD 90 + Study
por: Alessandra Griffa, et al.
Publicado: (2021)

Deep brain activities can be detected with magnetoencephalography
por: Francesca Pizzo, et al.
Publicado: (2019)

Characterization of kinesthetic motor imagery compared with visual motor imageries
por: Yu Jin Yang, et al.
Publicado: (2021)

Author Correction: Deep brain activities can be detected with magnetoencephalography
por: Francesca Pizzo, et al.
Publicado: (2021)

Brain-Computer Interfaces

A co-adaptive brain-computer interface for end users with severe motor impairment.
por: Josef Faller, et al.
Publicado: (2014)

Evaluating the Motor Imagery Classification Performance of a Double-Layered Feature Selection on Two Different-Sized Datasets
por: Minh Tran Duc Nguyen, et al.
Publicado: (2021)

Dendritic calcium signals in rhesus macaque motor cortex drive an optical brain-computer interface
por: Eric M. Trautmann, et al.
Publicado: (2021)

Spatial constraints and cognitive fatigue affect motor imagery of walking in people with multiple sclerosis
por: Jessica Podda, et al.
Publicado: (2020)

Multimodal brain imaging with magnetoencephalography: A method for measuring blood pressure and cardiorespiratory oscillations
por: Teemu Myllylä, et al.
Publicado: (2017)

Neural correlates of the improvement of cognitive performance resulting from enhanced sense of competence: A magnetoencephalography study.
por: Takashi Matsuo, et al.
Publicado: (2021)

Magnetic field compensation coil design for magnetoencephalography
por: Hermann Kutschka, et al.
Publicado: (2021)

Proprioceptive feedback and brain computer interface (BCI) based neuroprostheses.
por: Ander Ramos-Murguialday, et al.
Publicado: (2012)

Quantifying the alignment error and the effect of incomplete somatosensory feedback on motor performance in a virtual brain–computer-interface setup
por: Robin Lienkämper, et al.
Publicado: (2021)

A novel approach to understanding Parkinsonian cognitive decline using minimum spanning trees, edge cutting, and magnetoencephalography
por: Olivier B. Simon, et al.
Publicado: (2021)

Artificial Intelligence Algorithms in Visual Evoked Potential-Based Brain-Computer Interfaces for Motor Rehabilitation Applications: Systematic Review and Future Directions
por: Josefina Gutierrez-Martinez, et al.
Publicado: (2021)

Handedness effects on motor imagery during kinesthetic and visual-motor conditions
por: Dariusz Zapała, et al.
Publicado: (2021)

A comparison of GABA-ergic (propofol) and non-GABA-ergic (dexmedetomidine) sedation on visual and motor cortical oscillations, using magnetoencephalography
por: Neeraj Saxena, et al.
Publicado: (2021)

Absence Seizure Control by a Brain Computer Interface
por: Vladimir A. Maksimenko, et al.
Publicado: (2017)

Effects of hand orientation on motor imagery--event related potentials suggest kinesthetic motor imagery to solve the hand laterality judgment task.
por: Marijtje L A Jongsma, et al.
Publicado: (2013)

Multiple frequencies sequential coding for SSVEP-based brain-computer interface.
por: Yangsong Zhang, et al.
Publicado: (2012)

A brain-computer interface based on bilateral transcranial Doppler ultrasound.
por: Andrew J B Myrden, et al.
Publicado: (2011)

Motor imagery practice benefits during arm immobilization
por: Ursula Debarnot, et al.
Publicado: (2021)

Acquisition and consolidation processes following motor imagery practice
por: Célia Ruffino, et al.
Publicado: (2021)

Multi-resolution dataset for photovoltaic panel segmentation from satellite and aerial imagery
por: H. Jiang, et al.
Publicado: (2021)

An Approach to Semantically Segmenting Building Components and Outdoor Scenes Based on Multichannel Aerial Imagery Datasets
por: Yu Hou, et al.
Publicado: (2021)

A transfer learning framework based on motor imagery rehabilitation for stroke
por: Fangzhou Xu, et al.
Publicado: (2021)

An enhanced probabilistic LDA for multi-class brain computer interface.
por: Peng Xu, et al.
Publicado: (2011)

Selective sensation based brain-computer interface via mechanical vibrotactile stimulation.
por: Lin Yao, et al.
Publicado: (2013)

Z-score linear discriminant analysis for EEG based brain-computer interfaces.
por: Rui Zhang, et al.
Publicado: (2013)

Effects of task complexity or rate of motor imagery on motor learning in healthy young adults
por: Nargis Heena, et al.
Publicado: (2021)

A brain-computer interface based cognitive training system for healthy elderly: a randomized control pilot study for usability and preliminary efficacy.
por: Tih-Shih Lee, et al.
Publicado: (2013)

Monte Carlo Dropout for Uncertainty Estimation and Motor Imagery Classification
por: Daily Milanés-Hermosilla, et al.
Publicado: (2021)