[HTML][HTML] International Federation of Clinical Neurophysiology (IFCN)–EEG research workgroup: Recommendations on frequency and topographic analysis of resting …
Abstract In 1999, the International Federation of Clinical Neurophysiology (IFCN) published
“IFCN Guidelines for topographic and frequency analysis of EEGs and EPs”(Nuwer et al …
“IFCN Guidelines for topographic and frequency analysis of EEGs and EPs”(Nuwer et al …
EEG/MEG source imaging: methods, challenges, and open issues
K Wendel, O Väisänen, J Malmivuo… - Computational …, 2009 - Wiley Online Library
We present the four key areas of research—preprocessing, the volume conductor, the
forward problem, and the inverse problem—that affect the performance of EEG and MEG …
forward problem, and the inverse problem—that affect the performance of EEG and MEG …
Pitfalls of high-pass filtering for detecting epileptic oscillations: a technical note on “false” ripples
OBJECTIVES: To analyze interictal High frequency oscillations (HFOs) as observed in the
medial temporal lobe of epileptic patients and animals (ripples, 80–200Hz and fast ripples …
medial temporal lobe of epileptic patients and animals (ripples, 80–200Hz and fast ripples …
Time-frequency mixed-norm estimates: Sparse M/EEG imaging with non-stationary source activations
Magnetoencephalography (MEG) and electroencephalography (EEG) allow functional brain
imaging with high temporal resolution. While solving the inverse problem independently at …
imaging with high temporal resolution. While solving the inverse problem independently at …
Sparsity enables estimation of both subcortical and cortical activity from MEG and EEG
Subcortical structures play a critical role in brain function. However, options for assessing
electrophysiological activity in these structures are limited. Electromagnetic fields generated …
electrophysiological activity in these structures are limited. Electromagnetic fields generated …
Multichannel matching pursuit for seismic trace decomposition
Y Wang - Geophysics, 2010 - library.seg.org
The technique of matching pursuit can adaptively decompose a seismic trace into a series of
wavelets. However, the solution is not unique and is also strongly affected by data noise …
wavelets. However, the solution is not unique and is also strongly affected by data noise …
[BOOK][B] Practical biomedical signal analysis using MATLAB®
KJ Blinowska, J Żygierewicz - 2021 - taylorfrancis.com
Covering the latest cutting-edge techniques in biomedical signal processing while
presenting a coherent treatment of various signal processing methods and applications, this …
presenting a coherent treatment of various signal processing methods and applications, this …
Decreased sleep spindle density in patients with idiopathic REM sleep behavior disorder and patients with Parkinson's disease
JAE Christensen, J Kempfner, M Zoetmulder… - Clinical …, 2014 - Elsevier
Objective To determine whether sleep spindles (SS) are potentially a biomarker for
Parkinson's disease (PD). Methods Fifteen PD patients with REM sleep behavior disorder …
Parkinson's disease (PD). Methods Fifteen PD patients with REM sleep behavior disorder …
Solving the EEG inverse problem based on space–time–frequency structured sparsity constraints
We introduce STOUT (spatio-temporal unifying tomography), a novel method for the source
analysis of electroencephalograpic (EEG) recordings, which is based on a physiologically …
analysis of electroencephalograpic (EEG) recordings, which is based on a physiologically …
A removal of eye movement and blink artifacts from EEG data using morphological component analysis
EEG signals contain a large amount of ocular artifacts with different time‐frequency
properties mixing together in EEGs of interest. The artifact removal has been substantially …
properties mixing together in EEGs of interest. The artifact removal has been substantially …