Cargando…

Directional Decoding From EEG in a Center-Out Motor Imagery Task With Visual and Vibrotactile Guidance

Motor imagery is a popular technique employed as a motor rehabilitation tool, or to control assistive devices to substitute lost motor function. In both said areas of application, artificial somatosensory input helps to mirror the sensorimotor loop by providing kinesthetic feedback or guidance in a...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hehenberger, Lea, Batistic, Luka, Sburlea, Andreea I., Müller-Putz, Gernot R.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Human Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8497713/ https://www.ncbi.nlm.nih.gov/pubmed/34630055 http://dx.doi.org/10.3389/fnhum.2021.687252

Ejemplares similares

Motor Imagery Classification Based on EEG Sensing with Visual and Vibrotactile Guidance
por: Batistić, Luka, et al.
Publicado: (2023)

Feel Your Reach: An EEG-Based Framework to Continuously Detect Goal-Directed Movements and Error Processing to Gate Kinesthetic Feedback Informed Artificial Arm Control
por: Müller-Putz, Gernot R., et al.
Publicado: (2022)

Inter- and Intra-individual Variability in Brain Oscillations During Sports Motor Imagery
por: Wriessnegger, Selina C., et al.
Publicado: (2020)

Tuning characteristics of low-frequency EEG to positions and velocities in visuomotor and oculomotor tracking tasks
por: Kobler, Reinmar J., et al.
Publicado: (2018)

Multibranch convolutional neural network with contrastive representation learning for decoding same limb motor imagery tasks
por: Phunruangsakao, Chatrin, et al.
Publicado: (2022)

Statistically significant features improve binary and multiple Motor Imagery task predictions from EEGs
por: Degirmenci, Murside, et al.
Publicado: (2023)

Online asynchronous decoding of error-related potentials during the continuous control of a robot
por: Lopes-Dias, Catarina, et al.
Publicado: (2019)

Closed-loop motor imagery EEG simulation for brain-computer interfaces
por: Shin, Hyonyoung, et al.
Publicado: (2022)

Corrigendum: Relative Power Correlates With the Decoding Performance of Motor Imagery Both Across Time and Subjects
por: Zhou, Qing, et al.
Publicado: (2022)

EEG patterns of self-paced movement imaginations towards externally-cued and internally-selected targets
por: Pereira, Joana, et al.
Publicado: (2018)

Data augmentation strategies for EEG-based motor imagery decoding
por: George, Olawunmi, et al.
Publicado: (2022)

Detection of motor imagery based on short-term entropy of time–frequency representations
por: Batistić, Luka, et al.
Publicado: (2023)

EEG neural correlates of goal-directed movement intention
por: Pereira, Joana, et al.
Publicado: (2017)

Data Augmentation: Using Channel-Level Recombination to Improve Classification Performance for Motor Imagery EEG
por: Pei, Yu, et al.
Publicado: (2021)

Decoding Multi-Class Motor Imagery and Motor Execution Tasks Using Riemannian Geometry Algorithms on Large EEG Datasets
por: Shuqfa, Zaid, et al.
Publicado: (2023)

Distinct cortical networks for hand movement initiation and directional processing: An EEG study
por: Kobler, Reinmar J., et al.
Publicado: (2020)

Multi-Class Motor Imagery EEG Decoding for Brain-Computer Interfaces
por: Wang, Deng, et al.
Publicado: (2012)

Across-subject offline decoding of motor imagery from MEG and EEG
por: Halme, Hanna-Leena, et al.
Publicado: (2018)

Enhancement of lower limb motor imagery ability via dual-level multimodal stimulation and sparse spatial pattern decoding method
por: Hou, Yao, et al.
Publicado: (2022)

Applying Dimensionality Reduction Techniques in Source-Space Electroencephalography via Template and Magnetic Resonance Imaging-Derived Head Models to Continuously Decode Hand Trajectories
por: Srisrisawang, Nitikorn, et al.
Publicado: (2022)

Co-adaptive Training Improves Efficacy of a Multi-Day EEG-Based Motor Imagery BCI Training
por: Abu-Rmileh, Amjad, et al.
Publicado: (2019)

Stabilometric Correlates of Motor and Motor Imagery Expertise
por: Di Rienzo, Franck, et al.
Publicado: (2022)

The Vividness of Motor Imagery Is Correlated With Corticospinal Excitability During Combined Motor Imagery and Action Observation
por: Moriuchi, Takefumi, et al.
Publicado: (2020)

A Decoding Scheme for Incomplete Motor Imagery EEG With Deep Belief Network
por: Chu, Yaqi, et al.
Publicado: (2018)

Conditional Adversarial Domain Adaptation Neural Network for Motor Imagery EEG Decoding
por: Tang, Xingliang, et al.
Publicado: (2020)

Bridging the BCI illiteracy gap: a subject-to-subject semantic style transfer for EEG-based motor imagery classification
por: Kim, Da-Hyun, et al.
Publicado: (2023)

Bodily Illusions and Motor Imagery in Fibromyalgia
por: Scandola, Michele, et al.
Publicado: (2022)

Cross-Dataset Variability Problem in EEG Decoding With Deep Learning
por: Xu, Lichao, et al.
Publicado: (2020)

Decoding Intracranial EEG With Machine Learning: A Systematic Review
por: Mirchi, Nykan, et al.
Publicado: (2022)

A State-of-the-Art Review of EEG-Based Imagined Speech Decoding
por: Lopez-Bernal, Diego, et al.
Publicado: (2022)

Decoding EEG Brain Activity for Multi-Modal Natural Language Processing
por: Hollenstein, Nora, et al.
Publicado: (2021)

Decoding the neural signatures of valence and arousal from portable EEG headset
por: Garg, Nikhil, et al.
Publicado: (2022)

Enhanced motor imagery of digits within the same hand via vibrotactile stimulation
por: Ramu, Vadivelan, et al.
Publicado: (2023)

Publisher Correction: Across-subject offline decoding of motor imagery from MEG and EEG
por: Halme, Hanna-Leena, et al.
Publicado: (2018)

Decoding Motor Imagery through Common Spatial Pattern Filters at the EEG Source Space
por: Xygonakis, Ioannis, et al.
Publicado: (2018)

Decoding of Motor Coordination Imagery Involving the Lower Limbs by the EEG-Based Brain Network
por: Fu, Yunfa, et al.
Publicado: (2021)

Exploring representations of human grasping in neural, muscle and kinematic signals
por: Sburlea, Andreea I., et al.
Publicado: (2018)

A Multi-Target Motor Imagery Training Using Bimodal EEG-fMRI Neurofeedback: A Pilot Study in Chronic Stroke Patients
por: Lioi, Giulia, et al.
Publicado: (2020)

Sabotage Detection Using DL Models on EEG Data From a Cognitive-Motor Integration Task
por: Chaudhary, Mahima, et al.
Publicado: (2021)

Machine Learning Approaches for MDD Detection and Emotion Decoding Using EEG Signals
por: Duan, Lijuan, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_fh4o2js45h71kc35au7h929k5b