ArticleFrontiers in human neuroscience2017
A Synchronous Motor Imagery Based Neural Physiological Paradigm for Brain Computer Interface Speller.
Article in Frontiers in human neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Deep Learning for Ear-EEG-Based Brain-Computer Interface: A Systematic Comparison and Design Insights.Biosensors · 2026Article
- A large electroencephalogram database of freewill reaching and grasping tasks for brain machine interfaces.Scientific data · 2025Article
- Recent applications of EEG-based brain-computer-interface in the medical field.Military Medical Research · 2025Review
- Cortical signals analysis to recognize intralimb mobility using modified RNN and various EEG quantities.Heliyon · 2024Article
- Comparison of Two Paradigms Based on Stimulation with Images in a Spelling Brain-Computer Interface.Sensors (Basel, Switzerland) · 2023Article
- Classification Strategies for P300-Based BCI-Spellers Adopting the Row Column Paradigm.Sensors (Basel, Switzerland) · 2022Article
- Pharmacogenomic Clinical Decision Support: A Review, How-to Guide, and Future Vision.Clinical pharmacology and therapeutics · 2022Review
- Brain-Computer Interface Speller Based on Steady-State Visual Evoked Potential: A Review Focusing on the Stimulus Paradigm and Performance.Brain sciences · 2021Review
- Multiclass EEG signal classification utilizing Rényi min-entropy-based feature selection from wavelet packet transformation.Brain informatics · 2020Article
- Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review.Frontiers in neurorobotics · 2020Review
- Optimising non-invasive brain-computer interface systems for free communication between naïve human participants.Scientific reports · 2019Article
- A hierarchical architecture for recognising intentionality in mental tasks on a brain-computer interface.PloS one · 2019Article
- Brain-Computer Interface Spellers: A Review.Brain sciences · 2018Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brain Computer Interface (BCI) speller is a typical BCI-based application to help paralyzed patients express their thoughts. This paper proposed a novel motor imagery based BCI speller with Oct-o-spell paradigm for word input. Furthermore, an intelligent input method was used for improving the performance of the BCI speller. For the English word spelling experiment, we compared synchronous control with previous asynchronous control under the same experimental condition. There were no significant differences between these two control methods in the classification accuracy, information transmission rate (ITR) or letters per minute (LPM). And the accuracy rates of over 70% validated the feasibility for these two control strategies. It was indicated that MI-based synchronous control protocol was feasible for BCI speller. And the efficiency of the predictive text entry (PTE) mode was superior to that of the Non-PTE mode.
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