Results 41 to 50 of about 666,230 (233)
Pattern visual evoked potentials in dyslexic children
Journal of Ophthalmic & Vision Research, 2017 Purpose: This study aimed to compare pattern visual evoked potential (PVEP) components in dyslexic and normal children. Methods: This cross-sectional analytic study recruited 72 children, including 36 dyslexic and 36 normal participants aged 8-12 years ...
Javad Heravian Shandiz +8 more
doaj +1 more source
Comparison of Sub-Scalp EEG and Endovascular Stent-Electrode Array for Visual Evoked Potential Brain-Computer Interface [PDF]
arXiv, 2023 Brain-computer interfaces (BCI) have the potential to improve the quality of life for persons with paralysis. Sub-scalp EEG provides an alternative BCI signal acquisition method that compromises between the limitations of traditional EEG systems and the risks associated with intracranial electrodes, and has shown promise in long-term seizure monitoring.
arxiv
Decoding Steady-State Visual Evoked Potentials From Electrocorticography
Frontiers in Neuroinformatics, 2018 We report on a unique electrocorticography (ECoG) experiment in which Steady-State Visual Evoked Potentials (SSVEPs) to frequency- and phase-tagged stimuli were recorded from a large subdural grid covering the entire right occipital cortex of a human ...
Benjamin Wittevrongel +9 more
doaj +1 more source
Estimating and approaching maximum information rate of noninvasive visual brain-computer interface [PDF]
arXiv, 2023 The mission of visual brain-computer interfaces (BCIs) is to enhance information transfer rate (ITR) to reach high speed towards real-life communication. Despite notable progress, noninvasive visual BCIs have encountered a plateau in ITRs, leaving it uncertain whether higher ITRs are achievable. In this study, we investigate the information rate limits
arxiv
PLoS ONE, 2014 Efforts to construct an effective brain-computer interface (BCI) system based on Steady State Visual Evoked Potentials (SSVEP) commonly focus on sophisticated mathematical methods for data analysis.
Anna Duszyk +9 more
semanticscholar +1 more source
An Evoked Potential-Guided Deep Learning Brain Representation For Visual Classification [PDF]
arXiv, 2020 The new perspective in visual classification aims to decode the feature representation of visual objects from human brain activities. Recording electroencephalogram (EEG) from the brain cortex has been seen as a prevalent approach to understand the cognition process of an image classification task.
arxiv
Comparison of the influence of stimuli color on Steady-State Visual Evoked Potentials
, 2015 IntroductionThe main idea of a traditional Steady State Visually Evoked Potentials (SSVEP)-BCI is the activation of commands through gaze control. For this purpose, the retina of the eye is excited by a stimulus at a certain frequency.
R. M. Tello +3 more
semanticscholar +1 more source
PLoS ONE, 2014 In the study of steady-state visual evoked potentials (SSVEPs), it remains a challenge to present visual flickers at flexible frequencies using monitor refresh rate.
M. Nakanishi +4 more
semanticscholar +1 more source
Visual evoked potentials - current concepts and future perspectives [PDF]
Vojnosanitetski Pregled, 2018 nema
Jančić Jasna +8 more
doaj +1 more source
Investigative Ophthalmology and Visual Science, 2014 PURPOSE The aim of the study was to test the hypothesis that latency delay of multifocal visual evoked potentials (mfVEP) in nonoptic neuritis (NON) eyes of multiple sclerosis (MS) patients is related to retrochiasmal demyelinating lesions.
Daniah Alshowaeir +6 more
semanticscholar +1 more source