ArticleCurrent opinion in biomedical engineering2017
EEG-Based Brain-Computer Interfaces.
Article in Current opinion in biomedical engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
52 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Past, Present, and Future of EEG-Based BCI Applications.Sensors (Basel, Switzerland) · 2022Pooled it
- Pooled it
- Analysis of a BMI System for the Assessment of Cognitive Motor Engagement for the Neurorehabilitation of Patients with Lower-Limb Impairment.Neuroinformatics · 2026Article
- Intracortical BCI Performance is Robust to Changes in Attentional Load During Dual-Tasking.bioRxiv : the preprint server for biology · 2026Article
- EEG blink and gaze control using random forest classification for accessible assistive robotic navigation in real world conditions.Scientific reports · 2026Article
- Attention-Enhanced U-Net for Sensor-Efficient High-Density EEG Reconstruction in Wearable Brain Monitoring Systems.Journal of medical systems · 2026Article
- Text Sequence Stimulation for High-Speed and Comfortable SSVEP-BCI.Cyborg and bionic systems (Washington, D.C.) · 2026Article
- Decoding visual object recognition from EEG signals.PloS one · 2026Article
- ArEEG: an Open-Access Arabic Inner Speech EEG Dataset.Scientific data · 2025Article
- Investigating the neurovascular coupling across multiple motor execution and imagery conditions: a whole-brain EEG-informed fMRI analysis.NeuroImage · 2025Article
- EEG based real time classification of consecutive two eye blinks for brain computer interface applications.Scientific reports · 2025Article
- Graph convolution network-based eeg signal analysis: a review.Medical & biological engineering & computing · 2025Review
- Virtual Electroencephalogram Acquisition: A Review on Electroencephalogram Generative Methods.Sensors (Basel, Switzerland) · 2025Review
- Stochasticity as a solution for overfitting-A new model and comparative study on non-invasive EEG prospects.Frontiers in human neuroscience · 2025Article
- A novel channel reduction concept to enhance the classification of motor imagery tasks in brain-computer interface systems.PloS one · 2025Article
- Vibration stimulation enhances robustness in teleoperation robot system with EEG and eye-tracking hybrid control.Frontiers in bioengineering and biotechnology · 2025Article
- An Empirical Model-Based Algorithm for Removing Motion-Caused Artifacts in Motor Imagery EEG Data for Classification Using an Optimized CNN Model.Sensors (Basel, Switzerland) · 2024Article
- Evaluation of consumer-grade wireless EEG systems for brain-computer interface applications.Biomedical engineering letters · 2024Article
- A Complementary Dual-Mode Ion-Electron Conductive Hydrogel Enables Sustained Conductivity for Prolonged Electroencephalogram Recording.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Improving inter-session performance via relevant session-transfer for multi-session motor imagery classification.Heliyon · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Brain-Computer Interfaces (BCIs) are real-time computer-based systems that translate brain signals into useful commands. To date most applications have been demonstrations of proof-of-principle; widespread use by people who could benefit from this technology requires further development. Improvements in current EEG recording technology are needed. Better sensors would be easier to apply, more confortable for the user, and produce higher quality and more stable signals. Although considerable effort has been devoted to evaluating classifiers using public datasets, more attention to real-time signal processing issues and to optimizing the mutually adaptive interaction between the brain and the BCI are essential for improving BCI performance. Further development of applications is also needed, particularly applications of BCI technology to rehabilitation. The design of rehabilitation applications hinges on the nature of BCI control and how it might be used to induce and guide beneficial plasticity in the brain.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.