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   Articles with "eeg artifact" as a keyword



EEG Artifact Versus Subclinical Status Epilepticus in a Patient Following Cardiac Arrest

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recommendations! Published in 2018 at "Neurocritical Care"

DOI: 10.1007/s12028-018-0533-9

Abstract: BackgroundA challenge in ICU EEG interpretation is identifying subclinical status epilepticus versus patterns on the ictal–interictal continuum versus other repetitive patterns. In the electrically noisy intensive care unit, identifying and eliminating interference and artifact allow… read more here.

Keywords: status; impella; status epilepticus; subclinical status ... See more keywords

A novel EEG artifact removal algorithm based on an advanced attention mechanism

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-98653-1

Abstract: EEG is widely applied in emotion recognition, brain disease detection, and other fields due to its high temporal resolution and non-invasiveness. However, artifact removal remains a crucial issue in EEG signal processing. Recently, with the… read more here.

Keywords: removal; eeg artifact; artifact removal; attention mechanism ... See more keywords

DenoiseMamba: An Innovative Approach for EEG Artifact Removal Leveraging Mamba and CNN

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recommendations! Published in 2025 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2025.3573042

Abstract: Electroencephalography (EEG) is a widely used tool for monitoring brain activity, but it is often disturbed by various artifacts, such as electrooculography (EOG), electromyography (EMG), and electrocardiography (ECG), which degrade signal quality and affect subsequent… read more here.

Keywords: denoisemamba; eeg artifact; denoisemamba innovative; innovative approach ... See more keywords

EEG artifact removal using sub-space decomposition, nonlinear dynamics, stationary wavelet transform and machine learning algorithms

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recommendations! Published in 2022 at "Frontiers in Physiology"

DOI: 10.3389/fphys.2022.910368

Abstract: Blind source separation (BSS) methods have received a great deal of attention in electroencephalogram (EEG) artifact elimination as they are routine and standard signal processing tools to remove artifacts and reserve desired neural information. On… read more here.

Keywords: stationary wavelet; eeg artifact; machine; machine learning ... See more keywords