EEG and Ocular Artifact
An Application of Gaussian Processes on Ocular Artifact Removal from EEG
... on Ocular Artifact Removal from EEG* Saman Noorzadeh 1,2 , Bertrand Rivet 1 , Pierre-Yves Gum´ery 2 Abstract— Consequences of eye movements are one of the main inferences that distort the brain ...
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Ocular Artifact Detection and Removing from EEG by wavelet families: A Comparative Study
... like ocular artifact (OA) are one of the main interferences in EEG ...the EEG signal. Due to the frequency range of EEG signal and OA which has overlapping with each other, identify and ...
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Design of effective algorithm for Removal of Ocular Artifact from Multichannel EEG Signal Using ICA and Wavelet Method
... multichannel EEG data in which a combination of Independent Component Analysis and wavelet-based noise reduction is carried for detection and removal of Ocular ...sufficiently artifact- free ...
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Comparison of ICA and WT with S transform based method for removal of ocular artifact from EEG signals
... the ocular arti- facts from the EEG ...raw EEG is not affected by the proposed method, which implies the preservation of the information content is better than the other method based on wavelets and ...
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Study of Various Automatic EEG Artifact Removal Techniques
... state ocular artifact can totally distort EEG data so it’s essential to efficiently eliminate the ocular artifact without any loss of valuable EEG ...reference EEG before ...
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EOG Artifact Correction from EEG Signals for Biomedical Analysis
... of EEG signal is caused by occurrence of various artifacts like line interference, electro- oculogram, electrocardiogram, and muscle ...the EEG and obtaining clinical information. The ocular ...
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Scrutinizing different techniques for artifact removal from EEG signals
... Keywords: EEG; EMG; ECG; ocular artifacts; muscular artifacts; spike ...Introduction EEG records carry information about abnormalities or responses to certain stimuli in the human ...the EEG. ...
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EEG Artifact Removal in TMS Studies of Cortical Speech Areas
... as ocular artifacts (Ilmoniemi and Kičić 2010 ), were removed since these channels and trials brain signals might have been contaminated with the ...the EEG signals above 100 Hz is due to brain activity and ...
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Non-negative Tensor Factorization for Single-Channel EEG Artifact Rejection
... contaminated EEG signals in a controlled manner in such a way to simulate realistic ...i.e. EEG and artifacts, each from a different subject, so as to avoid unwanted correlated ...the EEG recordings ...
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EEG artifact elimination by extraction of ICA-component features using image processing algorithms
... entire EEG segments due to noise is a widely applied method in research settings and results in the loss of exper- imental ...continuous EEG and non-event-locked activity ( Vanhatalo et ...for ...
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An Experiment of Ocular Artifacts Elimination From EEG Signals Using ICA and PCA Methods
... blink artifact from EEG signal using blind source separation algorithm based on independent component analysis and principal component analysis is ...reported. EEG signals are recorded on three ...
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Automatic artifact removal in EEG of normal and demented individuals using ICA-WT during working memory tasks
... reliable EEG signals are. During EEG recordings, artifacts usually originate from OAs like eye blinks and movements [ 73 ...recorded EEG signals of interest, the OA activity originate mainly from the ...
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AR2, a novel automatic muscle artifact reduction software method for ictal EEG interpretation: Validation and comparison of performance with commercially available software.
... from EEG with muscle artifact. This filtering reduces muscle artifact by attenuating all fre- quencies beyond a selected value 5 , but it may impair the integrity of the EEG recording since ...
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Artifact Analysis and Removal of Electroencephalographic (EEG) Recordings
... results EEG recording is a mixture of underlying brain potentials and additional ...triggered artifact during cognitive ...movement artifact signals during walking (Kline, Huang, Snyder, & Ferris, ...
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EEG Artifact Removal Using a Wavelet Neural Network
... leA for artifact removal usually requires a large amount of data and manual vis ual inspection to eliminate noisy independent components , making the method time-consu[r] ...
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FASTER: Fully Automated Statistical Thresholding for EEG artifact Rejection
... collect EEG data. With any new method of processing EEG data, and in particular for a fully automated, unsupervised method, it is essential to quantify the improvement of signal-to-noise and the rate of ...
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A Modified Approach To EEG Artifact Removal Using ICA, DWT And Clustering
... ABSTRACT: EEG or Electroencephalography records the electrical activity occurring inside the brain due to communication that takes place between neurons which constitute the ...However, EEG is highly ...
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Hybrid wavelet and EMD/ICA approach for artifact suppression in pervasive EEG
... 4. Conclusions In this paper we explore the performance of two hybrid algorithms – WPTEMD and WPTICA – for suppressing motion related artifacts when a priori knowledge about the characteristics of the artifacts is not ...
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Real-time EEG artifact correction during fMRI using ICA
... Although the rtAAS is supposed to reduce BCG artifacts, we can see in Fig. 7 that the average INPS value is less than zero for two subjects when using the rtAAS. Averaging the INPS among six subjects shows 4.4 times ...
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Artifact removal and brain rhythm decomposition for eeg signal using wavelet approach
... for EEG signal before and after filtering process using stationary wavelet transform ...to EEG signal because the EMG and EOG artefact have spiky characteristic, thus this mother wavelet can remove the ...
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