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基于稳态视觉诱发电位的视力评估中的抗疲劳性能:六种刺激范式的比较

Anti-fatigue Performance in SSVEP-Based Visual Acuity Assessment: A Comparison of Six Stimulus Paradigms.

作者信息

Zheng Xiaowei, Xu Guanghua, Zhang Yubin, Liang Renghao, Zhang Kai, Du Yuhui, Xie Jun, Zhang Sicong

机构信息

School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China.

State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China.

出版信息

Front Hum Neurosci. 2020 Jul 31;14:301. doi: 10.3389/fnhum.2020.00301. eCollection 2020.

DOI:10.3389/fnhum.2020.00301
PMID:32848675
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7412756/
Abstract

PURPOSE

The occurrence of mental fatigue when users stare at stimuli is a critical problem in the implementation of steady-state visual evoked potential (SSVEP)-based visual acuity assessment, which may weaken the SSVEP amplitude and signal-to-noise ratio (SNR) and subsequently affect the results of visual acuity assessment. This study aimed to explore the anti-fatigue performance of six stimulus paradigms (reverse vertical sinusoidal gratings, reverse horizontal sinusoidal gratings, reverse vertical square-wave gratings, brief-onset vertical sinusoidal gratings, reversal checkerboards, and oscillating expansion-contraction concentric rings) in SSVEP acuity assessment.

METHODS

Based on four indices of α + θ index, pupil diameter, National Aeronautics and Space Administration Task Load Index (NASA-TLX), and amplitude and SNR of SSVEPs, this study quantitatively evaluated mental fatigue in six SSVEP visual attention runs corresponding to six paradigms with 12 subjects.

RESULTS

These indices of mental fatigue showed a good agreement. The results showed that the paradigm of motion expansion-contraction concentric rings had a superior anti-fatigue efficacy than the other five paradigms of conventional onset mode or pattern reversal mode during prolonged SSVEP experiment. The paradigm of brief-onset mode showed the lowest anti-fatigue efficacy, and the other paradigms of pattern reversal SSVEP paradigms showed a similar anti-fatigue efficacy, which was between motion expansion-contraction mode and onset mode.

CONCLUSION

This study recommended the paradigm of oscillating expansion-contraction concentric rings as the stimulation paradigm in SSVEP visual acuity because of its superior anti-fatigue efficacy.

摘要

目的

在基于稳态视觉诱发电位(SSVEP)的视力评估中,用户注视刺激时出现精神疲劳是一个关键问题,这可能会削弱SSVEP的幅度和信噪比(SNR),进而影响视力评估结果。本研究旨在探讨六种刺激范式(反向垂直正弦光栅、反向水平正弦光栅、反向垂直方波光栅、短暂起始垂直正弦光栅、反转棋盘格和振荡扩张-收缩同心环)在SSVEP视力评估中的抗疲劳性能。

方法

基于α+θ指数、瞳孔直径、美国国家航空航天局任务负荷指数(NASA-TLX)以及SSVEP的幅度和SNR这四个指标,本研究对12名受试者在对应六种范式的六次SSVEP视觉注意力测试中进行了精神疲劳的定量评估。

结果

这些精神疲劳指标显示出良好的一致性。结果表明,在长时间的SSVEP实验中,振荡扩张-收缩同心环范式比其他五种传统起始模式或模式反转模式的范式具有更好的抗疲劳效果。短暂起始模式的范式显示出最低的抗疲劳效果,而其他模式反转SSVEP范式的抗疲劳效果相似,介于运动扩张-收缩模式和起始模式之间。

结论

由于其优越的抗疲劳效果,本研究推荐振荡扩张-收缩同心环范式作为SSVEP视力测试中的刺激范式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0098/7412756/7c8320b572c3/fnhum-14-00301-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0098/7412756/e1fd3b13facf/fnhum-14-00301-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0098/7412756/680d77d27fad/fnhum-14-00301-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0098/7412756/362298adaea4/fnhum-14-00301-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0098/7412756/ab28919f6ca7/fnhum-14-00301-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0098/7412756/7c8320b572c3/fnhum-14-00301-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0098/7412756/e1fd3b13facf/fnhum-14-00301-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0098/7412756/680d77d27fad/fnhum-14-00301-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0098/7412756/362298adaea4/fnhum-14-00301-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0098/7412756/ab28919f6ca7/fnhum-14-00301-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0098/7412756/7c8320b572c3/fnhum-14-00301-g005.jpg

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本文引用的文献

1
VEP estimation of visual acuity: a systematic review.视诱发电位法估计视力:系统评价。
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2
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Doc Ophthalmol. 2020 Dec;141(3):237-251. doi: 10.1007/s10633-020-09768-x. Epub 2020 May 13.
3
Objective and quantitative assessment of interocular suppression in strabismic amblyopia based on steady-state motion visual evoked potentials.
基于 SSVEP 的脑-机接口中视觉疲劳的评估:一项综合研究。
Med Biol Eng Comput. 2024 May;62(5):1475-1490. doi: 10.1007/s11517-023-03000-z. Epub 2024 Jan 25.
4
A quantization algorithm of visual fatigue based on underdamped second order stochastic resonance for steady state visual evoked potentials.一种基于欠阻尼二阶随机共振的稳态视觉诱发电位视觉疲劳量化算法。
Front Neurosci. 2023 Nov 21;17:1278652. doi: 10.3389/fnins.2023.1278652. eCollection 2023.
5
Fatigue factors and fatigue indices in SSVEP-based brain-computer interfaces: a systematic review and meta-analysis.基于稳态视觉诱发电位的脑机接口中的疲劳因素和疲劳指标:系统评价与荟萃分析。
Front Hum Neurosci. 2023 Nov 16;17:1248474. doi: 10.3389/fnhum.2023.1248474. eCollection 2023.
6
SSVEP detection assessment by combining visual stimuli paradigms and no-training detection methods.通过结合视觉刺激范式和无训练检测方法进行稳态视觉诱发电位检测评估
Front Neurosci. 2023 May 18;17:1142892. doi: 10.3389/fnins.2023.1142892. eCollection 2023.
7
Effects of Background Music on Mental Fatigue in Steady-State Visually Evoked Potential-Based BCIs.背景音乐对基于稳态视觉诱发电位的脑机接口中精神疲劳的影响。
Healthcare (Basel). 2023 Apr 2;11(7):1014. doi: 10.3390/healthcare11071014.
8
Brain-Computer Interface Based on Steady-State Visual Evoked Potential Using Quick-Response Code Pattern for Wheelchair Control.基于快速响应码模式的稳态视觉诱发电位的脑-机接口用于轮椅控制。
Sensors (Basel). 2023 Feb 12;23(4):2069. doi: 10.3390/s23042069.
9
2020 International brain-computer interface competition: A review.2020年国际脑机接口竞赛综述
Front Hum Neurosci. 2022 Jul 22;16:898300. doi: 10.3389/fnhum.2022.898300. eCollection 2022.
10
Effects of Paradigm Color and Screen Brightness on Visual Fatigue in Light Environment of Night Based on Eye Tracker and EEG Acquisition Equipment.基于眼动追踪和 EEG 采集设备的范式颜色和屏幕亮度对夜间光环境下视觉疲劳的影响。
Sensors (Basel). 2022 May 27;22(11):4082. doi: 10.3390/s22114082.
基于稳态运动视觉诱发电位对视斜视性弱视中眼间抑制进行客观定量评估。
Vision Res. 2019 Nov;164:44-52. doi: 10.1016/j.visres.2019.07.003. Epub 2019 Oct 1.
4
Steady-State Motion Visual Evoked Potential (SSMVEP) Enhancement Method Based on Time-Frequency Image Fusion.基于时频图像融合的稳态运动视觉诱发电位(SSMVEP)增强方法。
Comput Intell Neurosci. 2019 May 21;2019:9439407. doi: 10.1155/2019/9439407. eCollection 2019.
5
Effects of stimulation frequency and stimulation waveform on steady-state visual evoked potentials using a computer monitor.使用计算机显示器时,刺激频率和刺激波形对稳态视觉诱发电位的影响。
J Neural Eng. 2019 Oct 10;16(6):066007. doi: 10.1088/1741-2552/ab2b7d.
6
Objective and quantitative assessment of visual acuity and contrast sensitivity based on steady-state motion visual evoked potentials using concentric-ring paradigm.基于使用同心环范式的稳态运动视觉诱发电位对视敏度和对比敏感度进行客观定量评估。
Doc Ophthalmol. 2019 Oct;139(2):123-136. doi: 10.1007/s10633-019-09702-w. Epub 2019 Jun 18.
7
Mental Fatigue Monitoring Using a Wearable Transparent Eye Detection System.使用可穿戴式透明眼部检测系统进行精神疲劳监测。
Micromachines (Basel). 2016 Jan 26;7(2):20. doi: 10.3390/mi7020020.
8
Highly Interactive Brain-Computer Interface Based on Flicker-Free Steady-State Motion Visual Evoked Potential.基于无闪烁稳态运动视觉诱发电位的高互动脑-机接口。
Sci Rep. 2018 Apr 11;8(1):5835. doi: 10.1038/s41598-018-24008-8.
9
Rapid Objective Assessment of Contrast Sensitivity and Visual Acuity With Sweep Visual Evoked Potentials and an Extended Electrode Array.扫频视觉诱发电位和扩展电极阵列快速客观评估对比敏感度和视力。
Invest Ophthalmol Vis Sci. 2018 Feb 1;59(2):1144-1157. doi: 10.1167/iovs.17-23248.
10
Four Novel Motion Paradigms Based on Steady-State Motion Visual Evoked Potential.基于稳态运动视觉诱发电位的四种新型运动范式。
IEEE Trans Biomed Eng. 2018 Aug;65(8):1696-1704. doi: 10.1109/TBME.2017.2762690. Epub 2017 Oct 13.