Brain-computer interface: Advancement and challenges
Brain-Computer Interface (BCI) is an advanced and multidisciplinary active research domain
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …
based on neuroscience, signal processing, biomedical sensors, hardware, etc. Since the …
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 …
EEGdenoiseNet: a benchmark dataset for deep learning solutions of EEG denoising
Objective. Deep learning (DL) networks are increasingly attracting attention across various
fields, including electroencephalography (EEG) signal processing. These models provide …
fields, including electroencephalography (EEG) signal processing. These models provide …
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 …
Simultaneous eye blink characterization and elimination from low-channel prefrontal EEG signals enhances driver drowsiness detection
Objective: Blink-related features derived from electroencephalography (EEG) have recently
arisen as a meaningful measure of driver's cognitive state. Combined with band power …
arisen as a meaningful measure of driver's cognitive state. Combined with band power …
[HTML][HTML] Brain and autonomic nervous system activity measurement in software engineering: A systematic literature review
In the past decade, brain and autonomic nervous system activity measurement received
increasing attention in the study of software engineering (SE). This paper presents a …
increasing attention in the study of software engineering (SE). This paper presents a …
VME-DWT: An efficient algorithm for detection and elimination of eye blink from short segments of single EEG channel
Objective: Recent advances in development of low-cost single-channel
electroencephalography (EEG) headbands have opened new possibilities for applications …
electroencephalography (EEG) headbands have opened new possibilities for applications …
Survey on brain-computer interface: An emerging computational intelligence paradigm
A brain-computer interface (BCI) provides a way to develop interaction between a brain and
a computer. The communication is developed as a result of neural responses generated in …
a computer. The communication is developed as a result of neural responses generated in …
Effect of EOG Signal Filtering on the Removal of Ocular Artifacts and EEG‐Based Brain‐Computer Interface: A Comprehensive Study
It is a fact that contamination of EEG by ocular artifacts reduces the classification accuracy of
a brain‐computer interface (BCI) and diagnosis of brain diseases in clinical research …
a brain‐computer interface (BCI) and diagnosis of brain diseases in clinical research …
A multi-artifact EEG denoising by frequency-based deep learning
M Gabardi, A Saibene, F Gasparini, D Rizzo… - arXiv preprint arXiv …, 2023 - arxiv.org
Electroencephalographic (EEG) signals are fundamental to neuroscience research and
clinical applications such as brain-computer interfaces and neurological disorder diagnosis …
clinical applications such as brain-computer interfaces and neurological disorder diagnosis …