Related references
Note: Only part of the references are listed.EEG changes caused by spontaneous facial self-touch may represent emotion regulating processes and working memory maintenance
Martin Grunwald et al.
BRAIN RESEARCH (2014)
Automated Removal of EKG Artifact From EEG Data Using Independent Component Analysis and Continuous Wavelet Transformation
Mehdi Bagheri Hamaneh et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2014)
Comparative evaluation of existing and new methods for correcting ocular artifacts in electroencephalographic recordings
Murielle Kirkove et al.
SIGNAL PROCESSING (2014)
Automated Artifact Removal From the Electroencephalogram: A Comparative Study
Ian Daly et al.
CLINICAL EEG AND NEUROSCIENCE (2013)
Detection of artifacts from high energy bursts in neonatal EEG
Sourya Bhattacharyya et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2013)
Efficient Signal Conditioning Techniques for Brain Activity in Remote Health Monitoring Network
Gundlapalli Venkata Sai Karthik et al.
IEEE SENSORS JOURNAL (2013)
Eye interference reduction in electroencephalogram recordings using a radial basic function
Jorge Mateo et al.
IET SIGNAL PROCESSING (2013)
EOG Artifact Correction from EEG Recording Using Stationary Subspace Analysis and Empirical Mode Decomposition
Hong Zeng et al.
SENSORS (2013)
Automatic Artifact Rejection From Multichannel Scalp EEG by Wavelet ICA
Nadia Mammone et al.
IEEE SENSORS JOURNAL (2012)
Employing spatially constrained ICA and wavelet denoising, for automatic removal of artifacts from multichannel EEG data
Muhammad Tahir Akhtar et al.
SIGNAL PROCESSING (2012)
Automatic Classification of Artifactual ICA-Components for Artifact Removal in EEG Signals
Irene Winkler et al.
BEHAVIORAL AND BRAIN FUNCTIONS (2011)
Automated artifact removal as preprocessing refines neonatal seizure detection
M. De Vos et al.
CLINICAL NEUROPHYSIOLOGY (2011)
Enhanced automatic artifact detection based on independent component analysis and Renyi's entropy
Nadia Mammone et al.
NEURAL NETWORKS (2008)
Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis
Arnaud Delorme et al.
NEUROIMAGE (2007)
An analysis of entropy estimators for blind source separation
KE Hild et al.
SIGNAL PROCESSING (2006)
Optimization of an independent component analysis approach for artifact identification and removal in magnetoencephalographic signals
G Barbati et al.
CLINICAL NEUROPHYSIOLOGY (2004)
Blind source separation using Renyi's α-marginal entropies
D Erdogmus et al.
NEUROCOMPUTING (2002)
Share Paper
