Eye blink rate increases as a function of cognitive load during an auditory oddball paradigm
Sign Up to like & getrecommendations! Published in 2020 at "Neuroscience Letters"
DOI: 10.1016/j.neulet.2020.135293
Abstract: Previous evidence suggests that changes in spontaneous eye blink rate (EBR) in human adults might reflect the amount of attentional demand (i.e. cognitive load) during cognitive tasks. However, the actual direction of this relation is… read more here.
Keywords: eye blink; cognitive load; load; auditory oddball ... See more keywords
Removal of Eye Blink Artifacts From EEG Signals Using Sparsity
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2017.2771783
Abstract: Neural activities recorded using electroencephalography (EEG) are mostly contaminated with eye blink (EB) artifact. This results in undesired activation of brain–computer interface (BCI) systems. Hence, removal of EB artifact is an important issue in EEG… read more here.
Keywords: sparsity based; eeg signals; eye blink; sparsity ... See more keywords
Unsupervised Eye Blink Artifact Detection From EEG With Gaussian Mixture Model
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2021.3057891
Abstract: Eye blink is one of the most common artifacts in electroencephalogram (EEG) and significantly affects the performance of the EEG related applications, such as epilepsy recognition, spike detection, encephalitis diagnosis, etc. To achieve an accurate… read more here.
Keywords: mixture model; eye blink; eye; detection ... See more keywords
Multidimensional Feature Optimization Based Eye Blink Detection Under Epileptiform Discharges
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3164126
Abstract: Objectives: Eye blink artifact detection in scalp electroencephalogram (EEG) of epilepsy patients is challenging due to its similar waveforms to epileptiform discharges. Developing an accurate detection method is urgent and critical. Methods: In this paper,… read more here.
Keywords: feature; eye blink; detection; epileptiform discharges ... See more keywords
Operator State in a Workplace Simulation Modulates Eye-Blink Related EEG Activity
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2023.3241962
Abstract: Evaluating and understanding the cognitive demands of natural activities has been difficult using neurocognitive approaches like mobile EEG. While task-unrelated stimuli are commonly added to a workplace simulation to estimate event-related cognitive processes, using eyeblink… read more here.
Keywords: related eeg; simulation; eye blink; eeg activity ... See more keywords
Fusion of EEG and Eye Blink Analysis for Detection of Driver Fatigue
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2023.3267114
Abstract: Objective: The driver fatigue detection using multi-channel electroencephalography (EEG) has been extensively addressed in the literature. However, the employment of a single prefrontal EEG channel should be prioritized as it provides users with more comfort.… read more here.
Keywords: fatigue; driver fatigue; eye blink; detection ... See more keywords
A New Approach for Eye-Blink to Speech Conversion by Dynamic Time Warping
Sign Up to like & getrecommendations! Published in 2021 at "Traitement du Signal"
DOI: 10.18280/ts.380214
Abstract: Received: 17 February 2021 Accepted: 9 April 2021 Motor neuron patients such as paralysis, locking syndrome, and amyotrophic lateral sclerosis can see and hear what is happening in their environment, but cannot communicate with their… read more here.
Keywords: eye blink; time; time warping; new approach ... 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