Sampling rate, signal bandwidth and related pitfalls in EEG analysis
- Weiergraeber, Marco
- Papazoglou, Anna
- Broich, Karl
- Mueller, Ralf
DOIAbstract
This submission contains a commentary. (C) 2016 Elsevier B.V. All rights reserved
This submission contains a commentary. (C) 2016 Elsevier B.V. All rights reserved
Abstract: Electroencephalography (EEG) is a non-invasive and widely available biomedical modality t...
on the application of quantitative EEG for characterizing autistic brain: a systematic revie
<p>(<b>A</b>) The upper panel shows spectral power from 5 to 50 Hz averaged over all 57 scalp electr...
This project focuses on modeling the EEG signal of an infant with seizure as signal with finite rate...
<p>A) Shows the measures of model quality, goodness-of-fit (left) and percent consistency (right). E...
Automated preprocessing methods are critically needed to process the large publicly-available EEG da...
International audienceElectroencephalography provides measurements of electrical potential in the fo...
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction...
Electroencephalography is a medical diagnosis technique. It consists in measuring the biopotentials ...
<p>(a) Time dependence of mean EEG energy on channel C1. (b) Variation coefficients for EEG energy o...
<p>All measured rates, including uncertainty, are between and , which corresponds to and of nomin...
An EEG (electroencephalography) provides insight into the status of the brain’s electrical activity....
Electroencephalogram (EEG) registration as a direct measure of brain activity has unique potentials....
This paper aims to describe a novel statistical approach to analysing the effects of radiofrequency ...
We provide an overview of recent progress regarding the role of sampling in the study of signals tha...
Abstract: Electroencephalography (EEG) is a non-invasive and widely available biomedical modality t...
on the application of quantitative EEG for characterizing autistic brain: a systematic revie
<p>(<b>A</b>) The upper panel shows spectral power from 5 to 50 Hz averaged over all 57 scalp electr...
This project focuses on modeling the EEG signal of an infant with seizure as signal with finite rate...
<p>A) Shows the measures of model quality, goodness-of-fit (left) and percent consistency (right). E...
Automated preprocessing methods are critically needed to process the large publicly-available EEG da...
International audienceElectroencephalography provides measurements of electrical potential in the fo...
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction...
Electroencephalography is a medical diagnosis technique. It consists in measuring the biopotentials ...
<p>(a) Time dependence of mean EEG energy on channel C1. (b) Variation coefficients for EEG energy o...
<p>All measured rates, including uncertainty, are between and , which corresponds to and of nomin...
An EEG (electroencephalography) provides insight into the status of the brain’s electrical activity....
Electroencephalogram (EEG) registration as a direct measure of brain activity has unique potentials....
This paper aims to describe a novel statistical approach to analysing the effects of radiofrequency ...
We provide an overview of recent progress regarding the role of sampling in the study of signals tha...
Abstract: Electroencephalography (EEG) is a non-invasive and widely available biomedical modality t...
on the application of quantitative EEG for characterizing autistic brain: a systematic revie
<p>(<b>A</b>) The upper panel shows spectral power from 5 to 50 Hz averaged over all 57 scalp electr...
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