ArticleBrain computer interfaces (Abingdon, England)2017
Heading for new shores! Overcoming pitfalls in BCI design.
Article in Brain computer interfaces (Abingdon, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis 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
37 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of research on augmentative and alternative communication brain-computer interface systems for individuals with disabilities.Frontiers in human neuroscience · 2022Pooled it
- The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users.PLoS biology · 2018Trial
- MotiVE BCI: motivation models including valence and expectancy in brain-computer interface use.Frontiers in human neuroscience · 2026Article
- Experience of Virtual Help in a Simulated BCI Stroke Rehabilitation Serious Game and How to Measure It.Sensors (Basel, Switzerland) · 2025Article
- Evaluating the effects of multimodal EEG-fNIRS neurofeedback for motor imagery: An experimental platform and study protocol.PloS one · 2025Article
- Transfer learning promotes acquisition of individual BCI skills.PNAS nexus · 2024Article
- What stakeholders with neurodegenerative conditions value about speech and accuracy in development of BCI systems for communication.Brain computer interfaces (Abingdon, England) · 2024Article
- Considerations and discussions on the clear definition and definite scope of brain-computer interfaces.Frontiers in neuroscience · 2024Review
- Human factors engineering of BCI: an evaluation for satisfaction of BCI based on motor imagery.Cognitive neurodynamics · 2023Article
- Evaluating the perspectives of those with severe physical impairments while learning BCI control of a commercial augmentative and alternative communication paradigm.Assistive technology : the official journal of RESNA · 2023Article
- Impact of dataset size and long-term ECoG-based BCI usage on deep learning decoders performance.Frontiers in human neuroscience · 2023Article
- Brain-computer interface paradigms and neural coding.Frontiers in neuroscience · 2023Review
- Article
- Neural correlates of user learning during long-term BCI training for the Cybathlon competition.Journal of neuroengineering and rehabilitation · 2022Article
- Closed-loop motor imagery EEG simulation for brain-computer interfaces.Frontiers in human neuroscience · 2022Article
- Workshops of the Eighth International Brain-Computer Interface Meeting: BCIs: The Next Frontier.Brain computer interfaces (Abingdon, England) · 2022Article
- A Bibliometric Analysis of Human-Machine Interaction Methodology for Electric-Powered Wheelchairs Driving from 1998 to 2020.International journal of environmental research and public health · 2021Review
- [Human factors engineering of brain-computer interface and its applications: Human-centered brain-computer interface design and evaluation methodology].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021Article
- Design Considerations for Long Term Non-invasive Brain Computer Interface Training With Tetraplegic CYBATHLON Pilot.Frontiers in human neuroscience · 2021Article
- Long-Term BCI Training of a Tetraplegic User: Adaptive Riemannian Classifiers and User Training.Frontiers in human neuroscience · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Research in brain-computer interfaces has achieved impressive progress towards implementing assistive technologies for restoration or substitution of lost motor capabilities, as well as supporting technologies for able-bodied subjects. Notwithstanding this progress, effective translation of these interfaces from proof-of concept prototypes into reliable applications remains elusive. As a matter of fact, most of the current BCI systems cannot be used independently for long periods of time by their intended end-users. Multiple factors that impair achieving this goal have already been identified. However, it is not clear how do they affect the overall BCI performance or how they should be tackled. This is worsened by the publication bias where only positive results are disseminated, preventing the research community from learning from its errors. This paper is the result of a workshop held at the 6th International BCI meeting in Asilomar. We summarize here the discussion on concrete research avenues and guidelines that may help overcoming common pitfalls and make BCIs become a useful alternative communication device.
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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.