Latest Research in EEG and Brain-Computer Interfaces

Top Research Topics in EEG and Brain-Computer Interfaces

• EEG and Brain-Computer Interfaces — 24 papers
• Stroke Rehabilitation and Recovery — 4 papers
• Cerebral Palsy and Movement Disorders — 4 papers
• Robotics — 2 papers
• Machine Learning — 2 papers
• Neuroscience and Music Perception — 2 papers
• Sports Performance and Training — 2 papers
• Knee injuries and reconstruction techniques — 2 papers
• Neurons and Cognition — 2 papers
• Balance, Gait, and Falls Prevention — 2 papers

Highest-Cited Papers

1. Simultaneous speech and gesture decoding for multimodal communication in paralysis (1 citations)
2. Recognition of digits from brain data: A neural decoding approach
3. Usability Evaluation of Visual Feedback and Task Parameters in XR-Based Upper-Limb Tracking for Rehabilitation
4. Blended Care in the mCIMT-BiT Pirate Group in Children with Unilateral Cerebral Palsy: A Feasibility Study
5. Measuring motor intent for BCI control–A comparative analysis of signal quality of simultaneously recorded vECoG and scalp EEG
6. Evaluation of VR-based speed and direction control strategies for pediatric robotic gait training
7. Enhancing motor prosthesis training through a gamified mixed-reality system
8. Online Multimodal Workload Assessment in Contact-Rich Physical Human-Robot Interaction
9. Assistive algorithms influence neural representations in motor brain-computer interfaces
10. Effect of Sequential Electroacupuncture Combined With Augmented Reality Gait Training on Walking Function and Neuromuscular Control in Subacute Stroke
11. Smart Objects for Clinical Rehabilitation and Education: A Scoping Review of Design, Sensing, and Validation
12. DESAnet: dual-branch spatial-temporal CNN with efficient channel and sparse attention networks for motor imagery classification
13. SQ-HAF: Source Quality-Guided Hierarchical Adaptation and Multi-Branch Fusion for Few-Shot Cross-Subject SSVEP Recognition
14. A Preliminary Multi-Criteria Decision-Support Framework for Selecting Immersive Virtual Reality Applications for Usability Evaluation in Upper-Limb Stroke Rehabilitation
15. Design and Decoding of a Novel Steering Motor Imagery Paradigm for Driving Brain–Computer Interfaces
16. DeepFeature: LLM-Empowered Context-aware Feature Generation for Wearable Biosignals
17. PRSEPTransformer-EEG: source-space sLORETA and residual transformers for robust motor imagery and execution EEG decoding
18. The Riemannian geometry of user learning in MI-BCI: A Cybathlon longitudinal study
19. FRIST: FMRI Representation Informed Shared-space Training Improves EEG-only Individual-Finger BCI Decoding
20. Electroencephalography Signal Analysis for Human Activities Classification: A Solution Based on Machine Learning and Motor Imagery