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Eye-blink artifact removal from single channel EEG with k-means and SSA
In recent years, the usage of portable electroencephalogram (EEG) devices are becoming
popular for both clinical and non-clinical applications. In order to provide more comfort to the …
popular for both clinical and non-clinical applications. In order to provide more comfort to the …
Automatic identification of insomnia using optimal antisymmetric biorthogonal wavelet filter bank with ECG signals
Sleep is a fundamental human physiological activity required for adequate working of the
human body. Sleep disorders such as sleep movement disorders, nocturnal front lobe …
human body. Sleep disorders such as sleep movement disorders, nocturnal front lobe …
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 …
Circulant singular spectrum analysis and discrete wavelet transform for automated removal of EOG artifacts from EEG signals
Background: Portable electroencephalogram (EEG) systems are often used in health care
applications to record brain signals because their ease of use. An electrooculogram (EOG) …
applications to record brain signals because their ease of use. An electrooculogram (EOG) …
SSA with CWT and k-Means for Eye-Blink Artifact Removal from Single-Channel EEG Signals
Recently, the use of portable electroencephalogram (EEG) devices to record brain signals in
both health care monitoring and in other applications, such as fatigue detection in drivers …
both health care monitoring and in other applications, such as fatigue detection in drivers …
Multidimensional feature optimization based eye blink detection under epileptiform discharges
Objectives: Eye blink artifact detection in scalp electroencephalogram (EEG) of epilepsy
patients is challenging due to its similar waveforms to epileptiform discharges. Develo** …
patients is challenging due to its similar waveforms to epileptiform discharges. Develo** …
[HTML][HTML] Induced gamma-band activity during actual and imaginary movements: EEG analysis
The purpose of this paper is to record and analyze induced gamma-band activity (GBA)(30–
60 Hz) in cerebral motor areas during imaginary movement and to compare it quantitatively …
60 Hz) in cerebral motor areas during imaginary movement and to compare it quantitatively …
FBLPF-ABOW: an effective method for blink artifact removal in single-channel EEG signal
W Gao, D Liu, Q Wang, Y Zhao… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Objective: The latest development in low-cost single-channel Electroencephalography
(EEG) devices is gaining widespread attention because it reduces hardware complexity …
(EEG) devices is gaining widespread attention because it reduces hardware complexity …
Development of frontal EEG differences between eyes-closed and eyes-open resting conditions in children: Data from a single-channel dry-sensor portable device
SJ Johnstone, H Jiang, L Sun… - Clinical EEG and …, 2021 - journals.sagepub.com
Changes in EEG when moving from an eyes-closed to an eyes-open resting condition result
from bottom-up sensory processing and have been referred to as activation. In children …
from bottom-up sensory processing and have been referred to as activation. In children …
Mental imagery classification using one-dimensional convolutional neural network for target selection in single-channel BCI-controlled mobile robot
This paper introduces the use of the one-dimensional convolutional neural network (1D-
CNN) for end-to-end EEG decoding with application towards a BCI system with a shared …
CNN) for end-to-end EEG decoding with application towards a BCI system with a shared …