Effect of EOG Signal Filtering on the Removal of Ocular Artifacts and EEG-Based Brain-Computer Interface: A Comprehensive Study

Complexity Measures for Quantifying Changes in Electroencephalogram in Alzheimer’s Disease

(2018) Ali H. Husseen Al-Nuaimi et al.   COMPLEXITY

A Pervasive Approach to EEG-Based Depression Detection

(2018) Hanshu Cai et al.   COMPLEXITY

User’s Self-Prediction of Performance in Motor Imagery Brain–Computer Interface

(2018) Minkyu Ahn et al.   Frontiers in Human Neuroscience

Automatic Removal of Physiological Artifacts in EEG: The Optimized Fingerprint Method for Sports Science Applications

(2018) David B. Stone et al.   Frontiers in Human Neuroscience

A generic EEG artifact removal algorithm based on the multi-channel Wiener filter

(2018) Ben Somers et al.   Journal of Neural Engineering

A Ternary Hybrid EEG-NIRS Brain-Computer Interface for the Classification of Brain Activation Patterns during Mental Arithmetic, Motor Imagery, and Idle State

(2018) Jaeyoung Shin et al.   Frontiers in Neuroinformatics

Detecting Large-Scale Brain Networks Using EEG: Impact of Electrode Density, Head Modeling and Source Localization

(2018) Quanying Liu et al.   Frontiers in Neuroinformatics

Automated EEG artifact elimination by applying machine learning algorithms to ICA-based features

(2017) Thea Radüntz et al.   Journal of Neural Engineering

Adaptive Spatial Filter Based on Similarity Indices to Preserve the Neural Information on EEG Signals during On-Line Processing

(2017) Denis Delisle-Rodriguez et al.   SENSORS

Analysis of Gamma-Band Activity from Human EEG Using Empirical Mode Decomposition

(2017) et al.   SENSORS

The Role of Visual Noise in Influencing Mental Load and Fatigue in a Steady-State Motion Visual Evoked Potential-Based Brain-Computer Interface

(2017) Jun Xie et al.   SENSORS

Single Channel EEG Artifact Identification Using Two-Dimensional Multi-Resolution Analysis

(2017) Mojtaba Taherisadr et al.   SENSORS

Cortical Signal Analysis and Advances in Functional Near-Infrared Spectroscopy Signal: A Review

(2016) Muhammad A. Kamran et al.   Frontiers in Human Neuroscience

Hybrid ICA—Regression: Automatic Identification and Removal of Ocular Artifacts from Electroencephalographic Signals

(2016) Malik M. Naeem Mannan et al.   Frontiers in Human Neuroscience

Removal of EOG Artifacts from Single Channel EEG Signals using Combined Singular Spectrum Analysis and Adaptive Noise Canceler

(2016) Ajay Maddirala et al.   IEEE SENSORS JOURNAL

Assessing the effects of voluntary and involuntary eyeblinks in independent components of electroencephalogram

(2016) Suguru Kanoga et al.   NEUROCOMPUTING

Removal of EOG artifacts from EEG using a cascade of sparse autoencoder and recursive least squares adaptive filter

(2016) Banghua Yang et al.   NEUROCOMPUTING

Methods for artifact detection and removal from scalp EEG: A review

(2016) Md Kafiul Islam et al.   NEUROPHYSIOLOGIE CLINIQUE-CLINICAL NEUROPHYSIOLOGY

Hybrid EEG—Eye Tracker: Automatic Identification and Removal of Eye Movement and Blink Artifacts from Electroencephalographic Signal

(2016) Malik Mannan et al.   SENSORS

EEG artifact removal—state-of-the-art and guidelines

(2015) Jose Antonio Urigüen et al.   Journal of Neural Engineering

Optimal hemodynamic response model for functional near-infrared spectroscopy

(2015) Muhammad A. Kamran et al.   Frontiers in Behavioral Neuroscience

Enhanced Automatic Wavelet Independent Component Analysis for Electroencephalographic Artifact Removal

(2014) Nadia Mammone et al.   Entropy

An iterative subspace denoising algorithm for removing electroencephalogram ocular artifacts

(2014) Reza Sameni et al.   JOURNAL OF NEUROSCIENCE METHODS

Robust removal of ocular artifacts by combining Independent Component Analysis and system identification

(2013) ZhenYu Wang et al.   Biomedical Signal Processing and Control

Effects of eye artifact removal methods on single trial P300 detection, a comparative study

(2013) Foad Ghaderi et al.   JOURNAL OF NEUROSCIENCE METHODS

EOG Artifact Correction from EEG Recording Using Stationary Subspace Analysis and Empirical Mode Decomposition

(2013) Hong Zeng et al.   SENSORS

Removal of Ocular Artifacts in EEG—An Improved Approach Combining DWT and ANC for Portable Applications

(2013) Hong Peng et al.   IEEE Journal of Biomedical and Health Informatics

Artifact Removal in Physiological Signals—Practices and Possibilities

(2012) K. T. Sweeney et al.   IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE

Automatic artefact removal in a self-paced hybrid brain- computer interface system

(2012) Xinyi Yong et al.   Journal of NeuroEngineering and Rehabilitation

Brain Computer Interfaces, a Review

(2012) Luis Fernando Nicolas-Alonso et al.   SENSORS

REG-ICA: A hybrid methodology combining Blind Source Separation and regression techniques for the rejection of ocular artifacts

(2011) Manousos A. Klados et al.   Biomedical Signal Processing and Control

Automatic Artifact Rejection From Multichannel Scalp EEG by Wavelet ICA

(2011) Nadia Mammone et al.   IEEE SENSORS JOURNAL

The Removal of Ocular Artifacts from EEG Signals Using Adaptive Filters Based on Ocular Source Components

(2010) Hsiao-Lung Chan et al.   ANNALS OF BIOMEDICAL ENGINEERING

Regularized Common Spatial Pattern With Aggregation for EEG Classification in Small-Sample Setting

(2010) Haiping Lu et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

A test of four EOG correction methods using an improved validation technique

(2010) Trieu T.H. Pham et al.   INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY

A fully automatic ocular artifact suppression from EEG data using higher order statistics: Improved performance by wavelet analysis

(2010) Hosna Ghandeharion et al.   MEDICAL ENGINEERING & PHYSICS

Ocular Reduction in EEG Signals Based on Adaptive Filtering, Regression and Blind Source Separation

(2008) S. Romero et al.   ANNALS OF BIOMEDICAL ENGINEERING

A comparative study of automatic techniques for ocular artifact reduction in spontaneous EEG signals based on clinical target variables: A simulation case

(2008) Sergio Romero et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Enhanced automatic artifact detection based on independent component analysis and Renyi’s entropy

(2008) Nadia Mammone et al.   NEURAL NETWORKS