Identification and removal of physiological artifacts from electroencephalogram signals: A review
Electroencephalogram (EEG), boasting the advantages of portability, low cost, and
hightemporal resolution, is a non-invasive brain-imaging modality that can be used to …
hightemporal resolution, is a non-invasive brain-imaging modality that can be used to …
Removal of muscle artifacts from the EEG: A review and recommendations
Electroencephalography (EEG) has been widely used for studying brain function. As cortical
signals recorded by the EEG are very weak, they are often obscured by motion artifacts and …
signals recorded by the EEG are very weak, they are often obscured by motion artifacts and …
Automatic eyeblink and muscular artifact detection and removal from EEG signals using k-nearest neighbor classifier and long short-term memory networks
Electroencephalogram (EEG) is often corrupted with artifacts originating from sources such
as eyes and muscles. Hybrid artifact removal methods often require human intervention for …
as eyes and muscles. Hybrid artifact removal methods often require human intervention for …
Automatic eyeblink artifact removal from EEG signal using wavelet transform with heuristically optimized threshold
This paper proposes an automatic eyeblink artifacts removal method from corrupted-EEG
signals using discrete wavelet transform (DWT) and meta-heuristically optimized threshold …
signals using discrete wavelet transform (DWT) and meta-heuristically optimized threshold …
Ocular artifact elimination from electroencephalography signals: A systematic review
Electroencephalography (EEG) is the signal of intrigue that has immense application in the
clinical diagnosis of various neurological, psychiatric, psychological, psychophysiological …
clinical diagnosis of various neurological, psychiatric, psychological, psychophysiological …
Toward true closed-loop neuromodulation: artifact-free recording during stimulation
Highlights•Artifacts distort recorded neural signals and obscure reliable biomarker
detection.•Stimulation artifact cancellation and artifact mitigation methods are reviewed.•A …
detection.•Stimulation artifact cancellation and artifact mitigation methods are reviewed.•A …
A novel EEMD-CCA approach to removing muscle artifacts for pervasive EEG
Future electroencephalogram (EEG) recordings in body sensor networks are prone to be
contaminated by muscle activity due to the mobile, long-term, and pervasive monitoring …
contaminated by muscle activity due to the mobile, long-term, and pervasive monitoring …
Automatic muscle artifacts identification and removal from single-channel eeg using wavelet transform with meta-heuristically optimized non-local means filter
Electroencephalogram (EEG) signals may get easily contaminated by muscle artifacts,
which may lead to wrong interpretation in the brain–computer interface (BCI) system as well …
which may lead to wrong interpretation in the brain–computer interface (BCI) system as well …
[HTML][HTML] IC-U-Net: a U-Net-based denoising autoencoder using mixtures of independent components for automatic EEG artifact removal
Electroencephalography (EEG) signals are often contaminated with artifacts. It is imperative
to develop a practical and reliable artifact removal method to prevent the misinterpretation of …
to develop a practical and reliable artifact removal method to prevent the misinterpretation of …
MultiResUNet3+: A full-scale connected multi-residual UNet model to denoise electrooculogram and electromyogram artifacts from corrupted electroencephalogram …
Electroencephalogram (EEG) signals immensely suffer from several physiological artifacts,
including electrooculogram (EOG), electromyogram (EMG), and electrocardiogram (ECG) …
including electrooculogram (EOG), electromyogram (EMG), and electrocardiogram (ECG) …