The ICA model applied to EEG Data
ERP Features and EEG Dynamics: An ICA Perspective
... These EEG data were collected synchronously from 250 scalp plus four infra-ocular and two electrocardiographic (ECG) electrodes with an active reference (Biosemi, Amsterdam) at a sampling rate of 256 Hz and ...
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Data-driven re-referencing of intracranial EEG based on independent component analysis (ICA)
... compared ICA to a bipolar referencing scheme using only three ...real data but avoided signal spread or other unwanted statistical ...channel data in isolation will present a challenging scenario for ...
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Identifying key factors for improving ICA‐based decomposition of EEG data in mobile and stationary experiments
... MoBI data which take up degrees of freedom for the ICA ...Importantly, ICA is still a powerful tool for cleaning EEG data even in light of increasingly noisy recordings from MoBI and ...
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EEG Signal with Feature Extraction using SVM and ICA Classifiers
... Random data analyze the checksum bits modulation/demodulation process ...dimensional data reduction method and to identify underlying variables that are uncorrelated with each ...
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ICA-based EEG denoising: a comparative analysis of fifteen methods
... non-invasive EEG data. However, EEG signals may be unfortunately contaminated by instrumental noise and various electrophysiological artifacts, such as power line noise, broken wire contacts, ocular ...
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Eeg De-Noising Using Wavelet Transform And Fast Ica
... for EEG signal de- noising using a selected method of thresholding of appropriate decomposition ...and applied for processing of biomedical signals representing EEG signals can be used for MR images ...
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MOVING-WINDOW ICA DECOMPOSITION OF EEG DATA REVEALS EVENT-RELATED CHANGES IN OSCILLATORY BRAIN ACTIVITY
... by ICA into separate components that can be modeled using a single equivalent source ...dipole. ICA decomposition (either moving-window or whole-epoch) then allows examination of event-related modulations ...
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Hybrid wavelet and EMD/ICA approach for artifact suppression in pervasive EEG
... semi-simulated data where the above mentioned algorithms were compared with state-of-the-art artifact separation algorithms like wICA and ...acquired data corrupted with eight types of motion artifacts ...
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Detection of EEG-resting state independent networks by eLORETA-ICA method
... functional ICA, given its origin in the field of functional data ...an EEG-eLORETA based functional network corresponds to brain regions and frequencies that “work” together across a population of ...
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A Modified Approach To EEG Artifact Removal Using ICA, DWT And Clustering
... Step-1: EEG data recorded from 10 channels is loaded into ...Step-2: ICA is performed on the above dataset to obtain Independent Components (ICs) on which further calculations are to be ...
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Real-time EEG artifact correction during fMRI using ICA
... MR-compatible EEG system from Brain Products GmbH. The EEG cap included 32 electrodes, arranged according to the international 10–20 ...the EEG system clock with the 10 MHz MRI scanner clock. ...
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Detection of EEG-resting state independent networks by eLORETA-ICA method
... state data, the so called “Resting State independent Networks” (RS-independent-Ns) by applying independent component analysis ...have applied ICA for separate frequency bands only, disregarding ...
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A new approach to denoising EEG signals - merger of translation invariant wavelet and ICA
... the EEG signals ICA cannot filter them without discarding the true signals as ...of EEG and noise present different ...while EEG concentrates on the 22-25 ...the EEG signals. WT ...
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VOG-enhanced ICA for removing blink and eye-movement artefacts from EEG
... VOG-ENHANCED ICA FOR REMOVING BLINK AND EYE-MOVEMENT ARTEFACTS FROM EEG Mohammad Reza Haji Samadi, Zohreh Zakeri and Neil Cooke Abstract— The steady-state visual evoked potential (SSVEP) is reliable for ...
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ICA Mixtures Applied to Ultrasonic Nondestructive Classification of Archaeological Ceramics
... Copyright © 2010 A. Salazar and L. Vergara. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, ...
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Removal of muscle artifact from EEG data: comparison between stochastic (ICA and CCA) and deterministic (EMD and wavelet-based) approaches
... denoised data is clearly more consistent with that of clean data than when source localization is performed on CCA or CoM2 ...that data set #2 is strongly affected by muscle ...these data, the ...
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Removal of muscle artifact from EEG data: comparison between stochastic (ICA and CCA) and deterministic (EMD and wavelet-based) approaches
... denoised data is clearly more consistent with that of clean data than when source localization is performed on CCA or CoM2 ...that data set #2 is strongly affected by muscle ...these data, the ...
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Advanced Study of ICA in EEG and Signal Acquisition using Mydaq and Lab view Application
... of EEG information amid Pranayama practice demonstrates increment of intensity in delta, theta, alpha and beta waves in long haul professionals to a bigger degree than momentary ...the EEG motions in the ...
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An Experiment of Ocular Artifacts Elimination From EEG Signals Using ICA and PCA Methods
... The first step of the experiment is the electrode preparation. Electrodes are firstly smeared using an electrolyte liquid to improve conductivity of the electrode. This process takes approximately 5 minutes, following by ...
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Single-trial classification of EEG in a visual object task using ICA and machine learning
... Scalp EEG data with IC artefacts removed The above results suggest improved classification when using data from activations of components identified by ICA with the SVM classifiers rather than ...
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