ArticleBMC neuroscience2012
Online detection of error-related potentials boosts the performance of mental typewriters.
Article in BMC neuroscience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Towards Predictive Communication: The Fusion of Large Language Models and Brain-Computer Interface.Sensors (Basel, Switzerland) · 2025Review
- EEG error-related potentials encode magnitude of errors and individual perceptual thresholds.iScience · 2023Article
- A Method for the Study of Cerebellar Cognitive Function-Re-Cognition and Validation of Error-Related Potentials.Brain sciences · 2022Article
- Single-Trial Classification of Error-Related Potentials in People with Motor Disabilities: A Study in Cerebral Palsy, Stroke, and Amputees.Sensors (Basel, Switzerland) · 2022Article
- Error-Related Potentials in Reinforcement Learning-Based Brain-Machine Interfaces.Frontiers in human neuroscience · 2022Review
- An Optimal Transport Based Transferable System for Detection of Erroneous Somato-Sensory Feedback from Neural Signals.Brain sciences · 2021Article
- Detection of Error-Related Potentials in Stroke Patients from EEG Using an Artificial Neural Network.Sensors (Basel, Switzerland) · 2021Article
- Brain-Computer Interface Speller Based on Steady-State Visual Evoked Potential: A Review Focusing on the Stimulus Paradigm and Performance.Brain sciences · 2021Review
- Feedback Related Potentials for EEG-Based Typing Systems.Frontiers in human neuroscience · 2021Article
- Passive Brain-Computer Interfaces for Enhanced Human-Robot Interaction.Frontiers in robotics and AI · 2020Review
- An Event-Driven AR-Process Model for EEG-Based BCIs With Rapid Trial Sequences.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2019Article
- Neurotechnologies for Human Cognitive Augmentation: Current State of the Art and Future Prospects.Frontiers in human neuroscience · 2019Review
- Brain-Computer Interface Spellers: A Review.Brain sciences · 2018Review
- Augmenting intracortical brain-machine interface with neurally driven error detectors.Journal of neural engineering · 2017Article
- Moving Away From Error-Related Potentials to Achieve Spelling Correction in P300 Spellers.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2015Article
- Error-related potentials during continuous feedback: using EEG to detect errors of different type and severity.Frontiers in human neuroscience · 2015Article
- Utilizing a language model to improve online dynamic data collection in P300 spellers.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2014Article
- Errare machinale est: the use of error-related potentials in brain-machine interfaces.Frontiers in neuroscience · 2014Review
- Detection of error related neuronal responses recorded by electrocorticography in humans during continuous movements.PloS one · 2013Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIncreasing the communication speed of brain-computer interfaces (BCIs) is a major aim of current BCI-research. The idea to automatically detect error-related potentials (ErrPs) in order to veto erroneous decisions of a BCI has been existing for more than one decade, but this approach was so far little investigated in online mode.
methodsIn our study with eleven participants, an ErrP detection mechanism was implemented in an electroencephalography (EEG) based gaze-independent visual speller.
resultsSingle-trial ErrPs were detected with a mean accuracy of 89.1% (AUC 0.90). The spelling speed was increased on average by 49.0% using ErrP detection. The improvement in spelling speed due to error detection was largest for participants with low spelling accuracy.
conclusionThe performance of BCIs can be increased by using an automatic error detection mechanism. The benefit for patients with motor disorders is potentially high since they often have rather low spelling accuracies compared to healthy people.
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