An automatic algorithm for blink-artifact suppression based on iterative template matching: application to single channel recording of cortical auditory evoked potentials.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of neural engineering"
DOI: 10.1088/1741-2552/aa8d95
Abstract: OBJECTIVE Artifact reduction in electroencephalogram (EEG) signals is usually necessary to carry out data analysis appropriately. Despite the large amount of denoising techniques available with a multichannel setup, there is a lack of efficient algorithms… read more here.
Keywords: blink; blink artifact; single channel; blink artifacts ... See more keywords
Implementation of a Convolutional Neural Network for Eye Blink Artifacts Removal From the Electroencephalography Signal
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.782367
Abstract: Electroencephalography (EEG) signals are disrupted by technical and physiological artifacts. One of the most common artifacts is the natural activity that results from the movement of the eyes and the blinking of the subject. Eye… read more here.
Keywords: blink artifacts; convolutional neural; eye blink; neural network ... See more keywords