2021
DOI: 10.1088/1741-2552/ac1d5a
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High-speed ocular artifacts removal of multichannel EEG based on improved moment matching

Abstract: Objective. The excellent signal-to-noise ratio (SNR) is the premise of electroencephalogram (EEG) research and applications. This study aims to use innovative method to swiftly remove the ocular artifacts (OAs) from multichannel EEG to enhance the SNR. Approach. The moment matching method which is prevalently used to removing stripe noise from hyperspectral images is adapted and improved to deduct OAs from EEG. This modified approach regards sampling points of multichannel EEG as pixels in images. It utilizes … Show more

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Cited by 5 publications
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“…A potential next step to strengthen our analyses is to compare AB and ICA using simulated EEG generated using ocular artifacts extracted from a real dataset. Simulated recordings could be generated by extracting segments of eye artifacts from EEG recordings [39].…”
Section: Discussionmentioning
confidence: 99%
“…A potential next step to strengthen our analyses is to compare AB and ICA using simulated EEG generated using ocular artifacts extracted from a real dataset. Simulated recordings could be generated by extracting segments of eye artifacts from EEG recordings [39].…”
Section: Discussionmentioning
confidence: 99%