Related references
Note: Only part of the references are listed.MLMRS-Net: Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network
Sakib Mahmud et al.
NEURAL COMPUTING & APPLICATIONS (2023)
Robust biometric system using session invariant multimodal EEG and keystroke dynamics by the ensemble of self-ONNs
Arafat Rahman et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2022)
Embedding decomposition for artifacts removal in EEG signals
Junjie Yu et al.
JOURNAL OF NEURAL ENGINEERING (2022)
Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals Using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis
Md Shafayet Hossain et al.
SENSORS (2022)
EEGANet: Removal of Ocular Artifacts From the EEG Signal Using Generative Adversarial Networks
Phattarapong Sawangjai et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2022)
Motion Artifacts Correction From EEG and fNIRS Signals Using Novel Multiresolution Analysis
Md Shafayet Hossain et al.
IEEE ACCESS (2022)
EEGdenoiseNet: a benchmark dataset for deep learning solutions of EEG denoising
Haoming Zhang et al.
JOURNAL OF NEURAL ENGINEERING (2021)
Generative Adversarial Networks-Based Data Augmentation for Brain-Computer Interface
Fatemeh Fahimi et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2021)
A NOVEL CONVOLUTIONAL NEURAL NETWORK MODEL TO REMOVE MUSCLE ARTIFACTS FROM EEG
Haoming Zhang et al.
2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021) (2021)
MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
Nabil Ibtehaz et al.
NEURAL NETWORKS (2020)
Epilepsy Seizure Prediction on EEG Using Common Spatial Pattern and Convolutional Neural Network
Yuan Zhang et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2020)
EEG Signal Reconstruction Using a Generative Adversarial Network With Wasserstein Distance and Temporal-Spatial-Frequency Loss
Tian-jian Luo et al.
FRONTIERS IN NEUROINFORMATICS (2020)
A novel end-to-end 1D-ResCNN model to remove artifact from EEG signals
Weitong Sun et al.
NEUROCOMPUTING (2020)
A Novel EEMD-CCA Approach to Removing Muscle Artifacts for Pervasive EEG
Xun Chen et al.
IEEE SENSORS JOURNAL (2019)
Brain Network Analysis of Compressive Sensed High-Density EEG Signals in AD and MCI Subjects
Nadia Mammone et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)
Cross-Subject Emotion Recognition Using Flexible Analytic Wavelet Transform From EEG Signals
Vipin Gupta et al.
IEEE SENSORS JOURNAL (2019)
Removal of Artifacts from EEG Signals: A Review
Xiao Jiang et al.
SENSORS (2019)
Investigating the variability of cardiac pulse artifacts across heartbeats in simultaneous EEG-fMRI recordings: A 7T study
Joao Jorge et al.
NEUROIMAGE (2019)
M/EEG-Based Bio-Markers to Predict the MCI and Alzheimer's Disease: A Review From the ML Perspective
Su Yang et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2019)
Use of features from RR-time series and EEG signals for automated classification of sleep stages in deep neural network framework
R. K. Tripathy et al.
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2018)
Automatic ocular artifacts removal in EEG using deep learning
Banghua Yang et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2018)
Heart-Brain Interactions in the MR Environment: Characterization of the Ballistocardiogram in EEG Signals Collected During Simultaneous fMRI
Marco Marino et al.
BRAIN TOPOGRAPHY (2018)
An automated system for epilepsy detection using EEG brain signals based on deep learning approach
Ihsan Ullah et al.
EXPERT SYSTEMS WITH APPLICATIONS (2018)
The Use of Multivariate EMD and CCA for Denoising Muscle Artifacts From Few-Channel EEG Recordings
Xun Chen et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2018)
A generic EEG artifact removal algorithm based on the multi-channel Wiener filter
Ben Somers et al.
JOURNAL OF NEURAL ENGINEERING (2018)
Adaptive optimal basis set for BCG artifact removal in simultaneous EEG-fMRI
Marco Marino et al.
SCIENTIFIC REPORTS (2018)
A High-Speed SSVEP-Based BCI Using Dry EEG Electrodes
Xiao Xing et al.
SCIENTIFIC REPORTS (2018)
A novel deep learning approach for classification of EEG motor imagery signals
Yousef Rezaei Tabar et al.
JOURNAL OF NEURAL ENGINEERING (2017)
Single-trial EEG classification of motor imagery using deep convolutional neural networks
Zhichuan Tang et al.
OPTIK (2017)
Independent Vector Analysis Applied to Remove Muscle Artifacts in EEG Data
Xun Chen et al.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2017)
An EEMD-ICA Approach to Enhancing Artifact Rejection for Noisy Multivariate Neural Data
Ke Zeng et al.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2016)
Sampling rate, signal bandwidth and related pitfalls in EEG analysis
Marco Weiergraeber et al.
JOURNAL OF NEUROSCIENCE METHODS (2016)
The Removal of EOG Artifacts From EEG Signals Using Independent Component Analysis and Multivariate Empirical Mode Decomposition
Gang Wang et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2016)
An ICA/HHT Hybrid Approach for Automatic Ocular Artifact Correction
Chang Gao et al.
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE (2015)
The Use of Ensemble Empirical Mode Decomposition With Canonical Correlation Analysis as a Novel Artifact Removal Technique
Kevin T. Sweeney et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2013)
Validation of ICA-based myogenic artifact correction for scalp and source-localized EEG
Brenton W. McMenamin et al.
NEUROIMAGE (2010)
Using Electroencephalography to Measure Cognitive Load
Pavlo Antonenko et al.
EDUCATIONAL PSYCHOLOGY REVIEW (2010)
Canonical correlation analysis applied to remove muscle artifacts from the electroencephalogram
Wim De Clercq et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2006)
Using ICA for removal of ocular artifacts in EEG recorded from blind subjects
A Flexer et al.
NEURAL NETWORKS (2005)
Independent component analysis removing artifacts in ictal recordings
E Urrestarazu et al.
EPILEPSIA (2004)
Independent component analysis of ictal EEG in medial temporal lobe epilepsy
H Nam et al.
EPILEPSIA (2002)
Share Paper
