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 …
Trends in EEG-BCI for daily-life: Requirements for artifact removal
J Minguillon, MA Lopez-Gordo, F Pelayo - Biomedical Signal Processing …, 2017 - Elsevier
Since the discovery of the EEG principles by Berger in the 20's, procedures for artifact
removal have been essential in its pre-processing. In literature, diverse approaches based …
removal have been essential in its pre-processing. In literature, diverse approaches based …
Measuring workers' emotional state during construction tasks using wearable EEG
Construction workers' emotional states (eg, pleasure, displeasure, excitement, and
relaxation) are known as a critical factor that affect their performance (eg, safety, health, and …
relaxation) are known as a critical factor that affect their performance (eg, safety, health, and …
Density-weighted support vector machines for binary class imbalance learning
BB Hazarika, D Gupta - Neural Computing and Applications, 2021 - Springer
In real-world binary classification problems, the entirety of samples belonging to each class
varies. These types of problems where the majority class is notably bigger than the minority …
varies. These types of problems where the majority class is notably bigger than the minority …
[HTML][HTML] Filtering techniques for channel selection in motor imagery EEG applications: a survey
Brain computer interface (BCI) systems are used in a wide range of applications such as
communication, neuro-prosthetic and environmental control for disabled persons using …
communication, neuro-prosthetic and environmental control for disabled persons using …
EEG signal-processing framework to obtain high-quality brain waves from an off-the-shelf wearable EEG device
Investigating brain waves collected by an electroencephalogram (EEG) can be useful in
understanding human psychosocial conditions such as stress, emotional exhaustion …
understanding human psychosocial conditions such as stress, emotional exhaustion …
Automatic artifact rejection from multichannel scalp EEG by wavelet ICA
N Mammone, F La Foresta… - IEEE Sensors Journal, 2011 - ieeexplore.ieee.org
Electroencephalographic (EEG) recordings are often contaminated by artifacts, ie, signals
with noncerebral origin that might mimic some cognitive or pathologic activity, this way …
with noncerebral origin that might mimic some cognitive or pathologic activity, this way …
Real-time epileptic seizure prediction using AR models and support vector machines
L Chisci, A Mavino, G Perferi… - IEEE Transactions …, 2010 - ieeexplore.ieee.org
This paper addresses the prediction of epileptic seizures from the online analysis of EEG
data. This problem is of paramount importance for the realization of monitoring/control units …
data. This problem is of paramount importance for the realization of monitoring/control units …
Sleep scoring using artificial neural networks
M Ronzhina, O Janoušek, J Kolářová, M Nováková… - Sleep medicine …, 2012 - Elsevier
Rapid development of computer technologies leads to the intensive automation of many
different processes traditionally performed by human experts. One of the spheres …
different processes traditionally performed by human experts. One of the spheres …
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 …