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 …
Denoising based on spatial filtering
A de Cheveigné, JZ Simon - Journal of neuroscience methods, 2008 - Elsevier
We present a method for removing unwanted components of biological origin from
neurophysiological recordings such as magnetoencephalography (MEG) …
neurophysiological recordings such as magnetoencephalography (MEG) …
Revisiting mu suppression in autism spectrum disorder
Two aspects of the EEG literature lead us to revisit mu suppression in Autism Spectrum
Disorder (ASD). First and despite the fact that the mu rhythm can be functionally segregated …
Disorder (ASD). First and despite the fact that the mu rhythm can be functionally segregated …
Distinct social behavior and inter-brain connectivity in Dyads with autistic individuals
Q Moreau, F Brun, A Ayrolles, J Nadel… - Social …, 2024 - Taylor & Francis
ABSTRACT Autism Spectrum Disorder (ASD) is defined by distinctive socio-cognitive
behaviors that deviate from typical patterns. Notably, social imitation skills appear to be …
behaviors that deviate from typical patterns. Notably, social imitation skills appear to be …
PureEEG: automatic EEG artifact removal for epilepsy monitoring
MM Hartmann, K Schindler, TA Gebbink… - Neurophysiologie …, 2014 - Elsevier
Aim of the study A novel method for removal of artifacts from long-term EEGs was developed
and evaluated. The method targets most types of artifacts and works without user interaction …
and evaluated. The method targets most types of artifacts and works without user interaction …
Automatic measure of imitation during social interaction: A behavioral and hyperscanning-EEG benchmark
E Delaherche, G Dumas, J Nadel, M Chetouani - Pattern recognition letters, 2015 - Elsevier
Social neuroscience shows a growing interest for the study of social interaction.
Investigating its neural underpinnings has been greatly facilitated through the development …
Investigating its neural underpinnings has been greatly facilitated through the development …
Online denoising of eye-blinks in electroencephalography
Objective Due to its high temporal resolution, electroencephalography (EEG) has become a
broadly-used technology for real-time brain monitoring applications such as neurofeedback …
broadly-used technology for real-time brain monitoring applications such as neurofeedback …
Enhanced Rhythm Extraction Using Blind Source Separation and Wavelet Transform
SC Ng, P Raveendran - IEEE Transactions on Biomedical …, 2009 - ieeexplore.ieee.org
The mu rhythm is an electroencephalogram (EEG) signal located at the central region of the
brain that is frequently used for studies concerning motor activity. Quite often, the EEG data …
brain that is frequently used for studies concerning motor activity. Quite often, the EEG data …
Improvements of adaptive filtering by optimal projection to filter different artifact types on long duration EEG recordings
Adaptive Filtering by Optimal Projection (AFOP) is an automatic method for reducing ocular
and muscular artifacts on electro-encephalographic (EEG) recordings. This paper presents …
and muscular artifacts on electro-encephalographic (EEG) recordings. This paper presents …
Time-shift denoising source separation
A de Cheveigné - Journal of neuroscience methods, 2010 - Elsevier
I present a new method for removing unwanted components from neurophysiological
recordings such as magnetoencephalography (MEG), electroencephalography (EEG), or …
recordings such as magnetoencephalography (MEG), electroencephalography (EEG), or …