Methods for artifact detection and removal from scalp EEG: A review
Electroencephalography (EEG) is the most popular brain activity recording technique used
in wide range of applications. One of the commonly faced problems in EEG recordings is the …
in wide range of applications. One of the commonly faced problems in EEG recordings is the …
Electroencephalography in the diagnosis of genetic generalized epilepsy syndromes
Genetic generalized epilepsy (GGE) consists of several syndromes diagnosed and
classified on the basis of clinical features and electroencephalographic (EEG) abnormalities …
classified on the basis of clinical features and electroencephalographic (EEG) abnormalities …
[图书][B] Niedermeyer's electroencephalography: basic principles, clinical applications, and related fields
E Niedermeyer - 2011 - books.google.com
" This edition has several new features, reflective of the changes that have occurred in our
field over the last 5 years since the fifth edition. More and more, the field of digital recording …
field over the last 5 years since the fifth edition. More and more, the field of digital recording …
A novel end-to-end 1D-ResCNN model to remove artifact from EEG signals
W Sun, Y Su, X Wu, X Wu - Neurocomputing, 2020 - Elsevier
Electroencephalography (EEG) signals are an important tool in the field of clinical medicine,
brain research and the study of neurological diseases. EEG is very susceptible to a variety of …
brain research and the study of neurological diseases. EEG is very susceptible to a variety of …
Wavelet domain optimized Savitzky–Golay filter for the removal of motion artifacts from EEG recordings
P Gajbhiye, N Mingchinda, W Chen… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Motion artifact is observed in electroencephalogram (EEG) signals during the acquisition.
The elimination of this type of artifact using various signal processing approaches is …
The elimination of this type of artifact using various signal processing approaches is …
A dynamic center and multi threshold point based stable feature extraction network for driver fatigue detection utilizing EEG signals
Driver fatigue is the one of the main reasons of the traffic accidents. The human brain is a
complex structure, whose function can be evaluated with electroencephalogram (EEG) …
complex structure, whose function can be evaluated with electroencephalogram (EEG) …
Classifying electroencephalogram signals using an innovative and effective machine learning method based on chaotic elephant herding optimum
The field of electroencephalography (EEG) has made significant contributions to our
understanding of the brain, our understanding of neurological diseases, and our ability to …
understanding of the brain, our understanding of neurological diseases, and our ability to …
Using a standalone ear-EEG device for focal-onset seizure detection
Background Seizure detection is challenging outside the clinical environment due to the lack
of comfortable, reliable, and practical long-term neurophysiological monitoring devices. We …
of comfortable, reliable, and practical long-term neurophysiological monitoring devices. We …
Ambulatory EEG usefulness in epilepsy management
TF Hasan, WO Tatum IV - Journal of Clinical Neurophysiology, 2021 - journals.lww.com
Long-term video-EEG monitoring has been the gold standard for diagnosis of epileptic and
nonepileptic events. Medication changes, safety, and a lack of recording EEG in one's …
nonepileptic events. Medication changes, safety, and a lack of recording EEG in one's …
Water-soluble adhesive for stable long-term ambulatory EEG recordings
Objective Conventional methods used to adhere EEG electrodes are often uncomfortable.
Here, we present a polymer-based water-soluble EEG adhesive that can be maintained for …
Here, we present a polymer-based water-soluble EEG adhesive that can be maintained for …