Quantitative and objective diagnosis of color vision deficiencies based on steady-state visual evoked potentials

Zheng, Xiaowei; Xu, Guanghua; Wang, Yunyun; Du, Chenlin; Liang, Renghao; Zhang, Kai; Jia, Yaguang; Du, Yuhui; Zhang, Sicong

doi:10.1007/s10792-020-01613-z

Cited by 7 publications

(2 citation statements)

References 48 publications

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“…The results show that Colour Vision Severity Index was different in people having different types of colour vision deficiencies. This method also handled anomalous trichromacy and dichromacy, particularly protanopia and deuteronopia (22).…”

Section: Literature Surveymentioning

confidence: 99%

EEG Signal Processing for Detection of Colour Vision Deficiencies

Hamid¹,

Singh²

2022

ECS Trans.

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The clinical assessment methods of detection of colour blindness are prone to subjective bias, human errors, and lack of consistency. Also, heterogeneous nature of vision deficiencies makes manual detection difficult. Hence, objective methods based on physiological signals can be used. Various studies have been undertaken to analyze the effect that colour perceived has on EEG signals and as a result can be extended to detection of colour blindness. The results of this survey indicate that there are significant differences produced in EEG signals due to changes in colour, as well as due to differences in colour perception. EEG signals also differ between healthy and colour vision deficient individuals, thereby providing a biomarker for detection. This biomarker can be exploited using machine learning algorithms for detection of colour-related vision deficiencies.

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Section: Literature Surveymentioning

confidence: 99%

EEG Signal Processing for Detection of Colour Vision Deficiencies

Hamid¹,

Singh²

2022

ECS Trans.

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“…Recently, SSVEP-based BCIs have been employed in the diagnosis of color vision, hand prostheses and wheelchair control, speller, browsing the web, and computer games in the real world, where fatigue is the main challenge. Prolonged use of cues with different patterns, colors and brightness to diagnose of color vision led to visual fatigue ( Zheng et al, 2021 ). Another application is controlling a hand prosthesis to rotate, close and open ( Müller-Putz and Pfurtscheller, 2008 ), and controlling a wheelchair to turn right or left, move forward and stop ( Müller et al, 2011 ).…”

Section: Introductionmentioning

confidence: 99%

Fatigue factors and fatigue indices in SSVEP-based brain-computer interfaces: a systematic review and meta-analysis

Azadi Moghadam,

Maleki

2023

Front. Hum. Neurosci.

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BackgroundFatigue is a serious challenge when applying a steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) in the real world. Many researchers have used quantitative indices to study the effect of visual stimuli on fatigue. According to a wide range of studies in fatigue analysis, there are contradictions and inconsistencies in the behavior of fatigue indicators.New methodIn this study, for the first time, a systematic review and meta-analysis were performed on fatigue indices and fatigue caused by stimulation paradigm. We queried three scientific search engines for studies published between 2000 and 2022. The inclusion criteria were papers investigating mental and visual fatigue from performing a visual task using electroencephalogram (EEG) signals.ResultsAttractiveness and variation are the most effective ways to reduce BCI fatigue. Therefore, zoom motion, Newton’s ring motion, and cue patterns reduce fatigue. While the color of the cue could effectively reduce fatigue, its shape and background had no effect on fatigue. Additionally, the questionnaire and quantitative indicators such as frequency indices, signal-to-noise ratio (SNR), SSVEP amplitude, and multiscale entropy were utilized to assess fatigue. Meta-analysis indicated that when a person is fatigued, the spectrum amplitude of alpha, theta, and α+θ/β increase significantly, while SNR and SSVEP amplitude decrease significantly.ConclusionThe outcomes of this study can be used to design more optimal stimulation protocols that cause less fatigue. Moreover, the level of fatigue can be quantitatively assessed with indicators without the participant’s self-reports.

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Visual evoked potentials in patients with congenital color vision deficiency

Kızıltaş,

Fidancı

2024

Int Ophthalmol

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Quantitative and objective diagnosis of color vision deficiencies based on steady-state visual evoked potentials

Cited by 7 publications

References 48 publications

EEG Signal Processing for Detection of Colour Vision Deficiencies

EEG Signal Processing for Detection of Colour Vision Deficiencies

Fatigue factors and fatigue indices in SSVEP-based brain-computer interfaces: a systematic review and meta-analysis

Visual evoked potentials in patients with congenital color vision deficiency

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