A novel motion coupling coding method for brain-computer interfaces
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Wenqiang Yan
Abstract
Objectives
The best frequency response band for the steady-state visual evoked potential (SSVEP) stimulus for humans is limited. This results in a reduced number of encoded targets.
Methods
To circumvent these limitations, we propose a motion-coupled, steady-state motion visual evoked potential (SSMVEP) method. We designed a stimulus paradigm that couples both sinusoidal and square wave motions. The paradigm performs a spiral motion with a higher frequency in the form of sinusoidal wave, and alters the size of the lower frequency via the square wave form.
Results
The motion-coupled SSMVEP method could simultaneously induce stable motion frequency and coupling frequency, and there was no loss of frequency component.
Conclusions
The proposed method has been evaluated to have substantial potential for increasing the number of coding targets, which is an effective supplement to the existing studies.
Funding source: Key Research and Development Plan of Shaanxi Province
Award Identifier / Grant number: 2017ZDL-G-3-5
Funding source: National Natural Science Foundation of China
Award Identifier / Grant number: 51775415
Acknowledgments
This research was supported by National Natural Science Foundation of China (NSFC) (no. 51775415), and the Key Research and Development Plan of Shaanxi Province (no. 2017ZDL-G-3-5). We want to thank the subjects for participating in these experiments and anonymous reviewers for their helpful comments.
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Ethics approval and consent to participate: The subjects provided informed written consent, in accordance with the protocol approved by the institutional review board of Xi'an Jiaotong University.
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Supplementary Material
The online version of this article offers supplementary material (https://doi.org/10.1515/bmt-2019-0257).
© 2020 Walter de Gruyter GmbH, Berlin/Boston
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Articles in the same Issue
- Frontmatter
- Research articles
- A nonlinear dynamical approach to analysis of emotions using EEG signals based on the Poincaré map function and recurrence plots
- Frequency decomposition and phase synchronization of the visual evoked potential using the empirical mode decomposition
- A novel motion coupling coding method for brain-computer interfaces
- Electrocardiography (ECG) analysis and a new feature extraction method using wavelet transform with scalogram analysis
- A novel non-invasive method for estimating the local wave speed at a single site in the internal carotid artery
- Classification of standing and sitting phases based on in-socket piezoelectric sensors in a transfemoral amputee
- The performance of a low-cost bio-amplifier on 3D human arm movement reconstruction
- Mathematical model of patella T-reflex and clinical evaluation with Ashworth scales
- Replication of left ventricular haemodynamics with a simple planar mitral valve model
- Detection of skin cancer with adaptive fuzzy classifier using improved whale optimization
- Titanium coating: introducing an antibacterial and bioactive chitosan-alginate film on titanium by spin coating
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