ArticleFrontiers in neuroscience2010
Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges.
Article in Frontiers in neuroscience, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 176 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
176 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Past, Present, and Future of EEG-Based BCI Applications.Sensors (Basel, Switzerland) · 2022Pooled it
- Questionnaire Measures and Physiological Correlates of Presence: A Systematic Review.Frontiers in psychology · 2020Pooled it
- Direct comparison of supervised and semi-supervised retraining approaches for co-adaptive BCIs.Medical & biological engineering & computing · 2019Trial
- Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke.Nature communications · 2018Trial
- Brain-Computer Interface application: auditory serial interface to control a two-class motor-imagery-based wheelchair.Journal of neuroengineering and rehabilitation · 2017Trial
- Trial
- Trial
- Novel hold-release functionality in a P300 brain-computer interface.Journal of neural engineering · 2014Trial
- Offline analysis of context contribution to ERP-based typing BCI performance.Journal of neural engineering · 2013Trial
- Highly stretchable, hair-compatible multichannel neural interface with time-stable hydrogel for high-fidelity long-term EEG sensing.Science advances · 2026Article
- Exploration-based feedback for BCI training: a case study with an adolescent with paraplegia.Journal of neuroengineering and rehabilitation · 2026Article
- Rethinking Brain-Computer Interfaces for Soft Robotic Systems: A Unified Framework and Perspective.Sensors (Basel, Switzerland) · 2026Article
- Full-Stack Architectures for Intelligent Brain-Computer Interfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Inferring Arm Movement Direction from EEG Signals Using Explainable Deep Learning.Sensors (Basel, Switzerland) · 2026Article
- A Comparative Study of Conventional and Tripolar EEG for High-Performance Reach-to-Grasp BCI Systems.IEEE transactions on bio-medical engineering · 2026Article
- Bimanual attempts improving EEG-based hand movement decoding in stroke patients with hemiplegia.Frontiers in human neuroscience · 2026Article
- Exoskeleton robotics: from rigid structures to bio-integrated systems.Frontiers in neurorobotics · 2026Review
- Bridging cognition and control through passive eye movement integration in motor imagery brain-computer interfaces.Frontiers in human neuroscience · 2026Review
- Advances in the Application of Brain-Computer Interface-Based Neurofeedback Training in the Rehabilitation of Patients with Major Depressive Disorder.Neuropsychiatric disease and treatment · 2026Review
- Integrating active brain-computer interfaces (aBCIs) with passive BCIs (pBCIs) under different frustration levels.Scientific reports · 2025Article
116 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, new research has brought the field of electroencephalogram (EEG)-based brain-computer interfacing (BCI) out of its infancy and into a phase of relative maturity through many demonstrated prototypes such as brain-controlled wheelchairs, keyboards, and computer games. With this proof-of-concept phase in the past, the time is now ripe to focus on the development of practical BCI technologies that can be brought out of the lab and into real-world applications. In particular, we focus on the prospect of improving the lives of countless disabled individuals through a combination of BCI technology with existing assistive technologies (AT). In pursuit of more practical BCIs for use outside of the lab, in this paper, we identify four application areas where disabled individuals could greatly benefit from advancements in BCI technology, namely, "Communication and Control", "Motor Substitution", "Entertainment", and "Motor Recovery". We review the current state of the art and possible future developments, while discussing the main research issues in these four areas. In particular, we expect the most progress in the development of technologies such as hybrid BCI architectures, user-machine adaptation algorithms, the exploitation of users' mental states for BCI reliability and confidence measures, the incorporation of principles in human-computer interaction (HCI) to improve BCI usability, and the development of novel BCI technology including better EEG devices.
Indexed as
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.