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A Radial Zoom Motion-Based Paradigm for Steady State Motion Visual Evoked Potentials

Background: In steady state visual evoked potential (SSVEP)-based brain-computer interfaces, prolonged repeated flicker stimulation would reduce the system performance. To reduce the visual discomfort and fatigue, while ensuring recognition accuracy, and information transmission rate (ITR), a novel...

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Autores principales: Chai, Xiaoke, Zhang, Zhimin, Guan, Kai, Liu, Guitong, Niu, Haijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6477057/
https://www.ncbi.nlm.nih.gov/pubmed/31040775
http://dx.doi.org/10.3389/fnhum.2019.00127
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author Chai, Xiaoke
Zhang, Zhimin
Guan, Kai
Liu, Guitong
Niu, Haijun
author_facet Chai, Xiaoke
Zhang, Zhimin
Guan, Kai
Liu, Guitong
Niu, Haijun
author_sort Chai, Xiaoke
collection PubMed
description Background: In steady state visual evoked potential (SSVEP)-based brain-computer interfaces, prolonged repeated flicker stimulation would reduce the system performance. To reduce the visual discomfort and fatigue, while ensuring recognition accuracy, and information transmission rate (ITR), a novel motion paradigm based on the steady-state motion visual evoked potentials (SSMVEPs) is proposed. Methods: The novel SSMVEP paradigm of the radial zoom motion was realized using the sinusoidal form to modulate the size of the stimuli. The radial zoom motion-based SSMVEP paradigm was compared with the flicker-based SSVEP paradigm and the SSMVEP paradigm based on Newton's ring motion. The canonical correlation analysis was used to identify the frequency of the eight targets, the recognition accuracy of different paradigms with different stimulation frequencies, and the ITR under different stimulation durations were calculated. The subjective comfort scores and fatigue scores, and decrease in the accuracy due to fatigue was evaluated. Results: The average recognition accuracy of the novel radial zoom motion-based SSMVEP paradigm was 93.4%, and its ITR reached 42.5 bit/min, which was greater than the average recognition accuracy of the SSMVEP paradigm based on Newton's ring motion. The comfort score of the novel paradigm was greater than both the flicker-based SSVEP paradigm and SSMVEP paradigm based on Newton's ring motion. The decrease in the recognition accuracy due to fatigue was less than that of the SSSMVEP paradigm based on Newton's ring motion. Conclusion: The SSMVEP paradigm based on radial zoom motion has high recognition accuracy and ITR with low visual discomfort and fatigue scores. The method has potential advantages in overcoming the performance decline caused by fatigue.
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spelling pubmed-64770572019-04-30 A Radial Zoom Motion-Based Paradigm for Steady State Motion Visual Evoked Potentials Chai, Xiaoke Zhang, Zhimin Guan, Kai Liu, Guitong Niu, Haijun Front Hum Neurosci Neuroscience Background: In steady state visual evoked potential (SSVEP)-based brain-computer interfaces, prolonged repeated flicker stimulation would reduce the system performance. To reduce the visual discomfort and fatigue, while ensuring recognition accuracy, and information transmission rate (ITR), a novel motion paradigm based on the steady-state motion visual evoked potentials (SSMVEPs) is proposed. Methods: The novel SSMVEP paradigm of the radial zoom motion was realized using the sinusoidal form to modulate the size of the stimuli. The radial zoom motion-based SSMVEP paradigm was compared with the flicker-based SSVEP paradigm and the SSMVEP paradigm based on Newton's ring motion. The canonical correlation analysis was used to identify the frequency of the eight targets, the recognition accuracy of different paradigms with different stimulation frequencies, and the ITR under different stimulation durations were calculated. The subjective comfort scores and fatigue scores, and decrease in the accuracy due to fatigue was evaluated. Results: The average recognition accuracy of the novel radial zoom motion-based SSMVEP paradigm was 93.4%, and its ITR reached 42.5 bit/min, which was greater than the average recognition accuracy of the SSMVEP paradigm based on Newton's ring motion. The comfort score of the novel paradigm was greater than both the flicker-based SSVEP paradigm and SSMVEP paradigm based on Newton's ring motion. The decrease in the recognition accuracy due to fatigue was less than that of the SSSMVEP paradigm based on Newton's ring motion. Conclusion: The SSMVEP paradigm based on radial zoom motion has high recognition accuracy and ITR with low visual discomfort and fatigue scores. The method has potential advantages in overcoming the performance decline caused by fatigue. Frontiers Media S.A. 2019-04-16 /pmc/articles/PMC6477057/ /pubmed/31040775 http://dx.doi.org/10.3389/fnhum.2019.00127 Text en Copyright © 2019 Chai, Zhang, Guan, Liu and Niu. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Chai, Xiaoke
Zhang, Zhimin
Guan, Kai
Liu, Guitong
Niu, Haijun
A Radial Zoom Motion-Based Paradigm for Steady State Motion Visual Evoked Potentials
title A Radial Zoom Motion-Based Paradigm for Steady State Motion Visual Evoked Potentials
title_full A Radial Zoom Motion-Based Paradigm for Steady State Motion Visual Evoked Potentials
title_fullStr A Radial Zoom Motion-Based Paradigm for Steady State Motion Visual Evoked Potentials
title_full_unstemmed A Radial Zoom Motion-Based Paradigm for Steady State Motion Visual Evoked Potentials
title_short A Radial Zoom Motion-Based Paradigm for Steady State Motion Visual Evoked Potentials
title_sort radial zoom motion-based paradigm for steady state motion visual evoked potentials
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6477057/
https://www.ncbi.nlm.nih.gov/pubmed/31040775
http://dx.doi.org/10.3389/fnhum.2019.00127
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