Comparison of Pupil Size and Visual Evoked Potentials under 1-6Hz Visual Stimulation

In order to explore the effect of low frequency stimulation on pupil size and electroencephalogram (EEG), we presented subjects with 1-6Hz black-and-white-alternating flickering stimulus, and compared the differences of signal-to-noise ratio (SNR) and classification performance between pupil size an...

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Bibliographic Details
Main Authors: Jiang, Lu, Li, Xiaoyang, Wang, Yijun, Pei, Weihua, Gao, Xiaorong, Chen, Hongda
Format: Conference Proceeding
Language:English
Subjects:
Band-pass filters
Brain-Computer Interfaces
Electrodes
Electroencephalography
Evoked Potentials, Visual
Frequency measurement
Harmonic analysis
Humans
Photic Stimulation
Pupil
Signal to noise ratio
Visualization
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Summary:In order to explore the effect of low frequency stimulation on pupil size and electroencephalogram (EEG), we presented subjects with 1-6Hz black-and-white-alternating flickering stimulus, and compared the differences of signal-to-noise ratio (SNR) and classification performance between pupil size and visual evoked potentials (VEPs). The results showed that the SNR of the pupillary response reached the highest at 1Hz (17.19±0.10dB) and 100% accuracy was obtained at 1s data length, while the performance was poor at the stimulation frequency above 3Hz. In contrast, the SNR of VEPs reached the highest at 6Hz (18.57±0.37dB), and the accuracy of all stimulus frequencies could reach 100%, with the minimum data length of 1.5s. This study lays a theoretical foundation for further implementation of a hybrid brain-computer interface (BCI) that integrates pupillometry and EEG.
ISSN:2694-0604
DOI:10.1109/EMBC44109.2020.9175893