A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
A single channel-single trial P300 detection algorithm
2013
2013 21st Iranian Conference on Electrical Engineering (ICEE)
Preserved Fulltext
Many of these systems are based on the analysis of Event Related Potentials (ERPs) such as P300. ...
In this paper, a new method is presented to detect P300 signals through single channel data analysis and also it reaches an average accuracy of 65% in single trial P300 detection. I. ...
Kun Li et al. proposed a single trial P300 detection based on Independent Component Analysis (ICA). They proposed a new feature set based on ICA [13] . ...
doi:10.1109/iraniancee.2013.6599576
fatcat:5izgdmdsj5f57iwiwwllsmiiv4
Enhanced Detection of Visual-Evoked Potentials in Brain-Computer Interface Using Genetic Algorithm and Cyclostationary Analysis
2007
Computational Intelligence and Neuroscience
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
An algorithm based on cyclostationary (CS) analysis is introduced to locate the suitable frequency ranges that contain the stimulus-related VEP components. ...
This is followed by overlapping band EEG artifact reduction using genetic algorithm and independent component analysis (G-ICA) which uses mutual information (MI) criterion to separate EEG artifacts from ...
We thank Wadsworth Center, NYS Department of Health for providing the datasets to test our methodologies on the BCI competition III challenge website. ...
doi:10.1155/2007/28692
pmid:18354722
pmcid:PMC2266790
fatcat:x5pfmwe2ozf6pi2365lxcnt3qq
EEG-Based Assessment of Driver Cognitive Responses in a Dynamic Virtual-Reality Driving Environment
2007
IEEE Transactions on Biomedical Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Independent component analysis (ICA) is used to separate and extract noise-free ERP signals from the multi-channel EEG signals. ...
Index Terms-Cognitive state, event-related potential, fuzzy neural network, independent component analysis, principle component analysis, temporal filter, virtual reality. ...
(a) Averaged EEG signal for 31 channels. (b) Single-trial EEG signal in Pz channel. (c) The topographic maps on scalp of ICA components. (d) Separated artifacts in ICA component 1. ...
doi:10.1109/tbme.2007.891164
pmid:17605367
fatcat:zf7ap76775e7ndlqpxcv7y6ifa
Large-scale brain networks account for sustained and transient activity during target detection
2009
NeuroImage
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In EEG recordings, the detection of task-relevant stimuli elicits the P300 component, a transient response with latency around 300 ms. ...
Since the P300 component has been consistently associated with target detection, we concentrated on the first two brain networks, the time-course of which showed a modulation with the P300 response as ...
Single-subject single-trial analysis of artifact-corrected EEG signals. ...
doi:10.1016/j.neuroimage.2008.08.019
pmid:18793734
pmcid:PMC5745806
fatcat:pgjhxzqyifdcxpojdv2j633fui
Single-trial ERP estimation based on spatio-temporal filtering
2007
2007 3rd International IEEE/EMBS Conference on Neural Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
This paper introduces a new approach to the problem of single-trial event-related potentials (ERP) estimation in EEG data with very low signal-to-noise (SNR) ratio. ...
Results on cognitive EEG data with very low SNR show that our method successfully extracts the P300 component while other traditional methods fail. ...
Fig. 1 . 1 a typical extracted P300 and the presumed P300 component
V.DISCUSSIONS The clinical EEG data we have used is one of the cases where the signal of interest (P300) has very small
Manuscript ...
doi:10.1109/cne.2007.369728
fatcat:mmhb6pob3jgcjm2higqgsifc7q
Robust single-trial ERP estimation based on spatiotemporal filtering
2007
IEEE Engineering in Medicine and Biology Society. Conference Proceedings
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
This paper introduces a new approach to the problem of single-trial event-related potentials (ERP) estimation in EEG data with very low signal-to-noise (SNR) ratio. ...
Results on cognitive EEG data with very low SNR show that our method successfully extracts the P300 component while other traditional methods fail. ...
Fig. 1 . 1 a typical extracted P300 and the presumed P300 component
V.DISCUSSIONS The clinical EEG data we have used is one of the cases where the signal of interest (P300) has very small
Manuscript ...
doi:10.1109/iembs.2007.4353515
pmid:18003181
fatcat:asxo7jihu5hanj2gxgzfmb3moe
Controlling a Rehabilitation Robot with Brain-Machine Interface: An approach based on Independent Component Analysis and Multiple Kernel Learning
2013
International Journal of Automation and Smart Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In this paper, Independent Component Analysis -Multiple Kernel Learning (ICA-MKL) is used to directly extract a useful signal and build the classification mode for BCRS. ...
A brain-machine interface (BMI) based on the P300 event-related potential (ERP), called the Brain Controlled Rehabilitation System (BCRS), was developed to detect patient intentions. ...
Based on this assumption, ICA decomposes N measured EEG signals into N independent signals (commonly known as the independent components, ICs) [6] [7] [8] . ...
doi:10.5875/ausmt.v3i1.175
fatcat:xsu3koxzoza4re3ypfl6cte2tu
Delta responses and cognitive processing: single-trial evaluations of human visual P300
2001
International Journal of Psychophysiology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf.
Ž were visible even in single trial ERPs. 2 An algorithm for efficient selection of P300 single trials based on . ...
Ž. evaluation of delta responses is introduced. 3 The 'universal' character of the P300-delta response demonstrated in this report may open new avenues for the understanding of functional ERP components ...
The algorithm based on the evaluation of delta responses permits a clear and efficient selection criterion for evaluation of P300 single trials in ERP ensembles. ...
doi:10.1016/s0167-8760(00)00144-6
pmid:11163900
fatcat:bt2pler7brbm7bgwyricnjqgsi
Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects
2000
Clinical Neurophysiology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
A generally applicable adaptive method for removing artifacts from EEG records based on blind source separation by independent component analysis (ICA) (Neural Computation 7 (1995) 1129; Neural Computation ...
Conclusions: The ICA method can preserve ERP contributions from all of the recorded trials and all the recorded data channels, even when none of the single trials are artifact-free. q ...
Independent component analysis Independent component analysis (ICA) (as de®ned by Comon, 1994 ) is a method for solving the blind source separation problem: to recover N independent source signals, s ...
doi:10.1016/s1388-2457(00)00386-2
pmid:11018488
fatcat:ag5jbqieubfcfg7ltawx3ub5gy
A novel P300 BCI speller based on the Triple RSVP paradigm
2018
Scientific Reports
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
At present, most EEG speller systems are based on modified P300 speller. ...
Thus, Guan et al. proposed a single-character display random flashing speller system (SC speller) based on the FD speller (the probability that the character was hit was 1/36). ...
Therefore, the P300 component is included in the corresponding EEG signal of a symbol group, resulting in the target adjoint character mean EEG signal containing some of the P300 components. ...
doi:10.1038/s41598-018-21717-y
pmid:29463870
pmcid:PMC5820322
fatcat:bmu37bgn6ffb5kqwolh5366b4q
Multirapid Serial Visual Presentation Framework for EEG-Based Target Detection
2017
BioMed Research International
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
In an RSVP paradigm, a P300 component is detected to determine target images. This strategy requires high-precision single-trial P300 detection methods. ...
However, the performance of single-trial detection methods is relatively lower than that of multitrial P300 detection methods. Image retrieval based on multitrial P300 is a new research direction. ...
Single-trial P300-based systems, such as target image detection based on the RSVP paradigm [1, 5] , are commonly used for various BCIs. ...
doi:10.1155/2017/2049094
pmid:28808655
pmcid:PMC5541818
fatcat:iezyqvxwrzcefp54qxdboxzwiy
Enhancing P300 Component by Spectral Power Ratio Principal Components for a Single Trial Brain-Computer Interface
2008
American Journal of Applied Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Here we present a novel approach to detect P300 wave in single trial Visual Event Related Potential (VERP) signals using improved principal component analysis to enable a faster braincomputer interface ...
Concluding, the P300 parameters extracted through our proposed SPR and SSPR methods showed improved detection of target characters in the speller BCI. ...
ACKNOWLEDGMENT The authors wish to acknowledge the Wadsworth Center, New York State Department of Health, Albany, NY, USA for their P300 evoked potential data set IIb that was placed in the BCI Competition ...
doi:10.3844/ajassp.2008.639.644
fatcat:ogxrnoykereqph7u3kzmiku6ny
Electroencephalographic Brain Dynamics Following Manually Responded Visual Targets
2004
PLoS Biology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We applied infomax independent component analysis to parse the dynamics of the unaveraged 31-channel EEG signals into maximally independent processes, then clustered the resulting processes across subjects ...
Analysis of event-related EEG signals typically assumes that poststimulus potentials emerge out of a flat baseline. ...
SM, AD, T-PJ, and TJS contributed reagents/ materials/analysis tools. SM wrote the paper. ...
doi:10.1371/journal.pbio.0020176
pmid:15208723
pmcid:PMC423146
fatcat:qsq2z6q5cbbenlzjrejc5hgwtm
A P300-Based BCI Classification Algorithm Using Least Square Support Vector Machine
2015
International Journal of Software Engineering and Its Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
In this paper, we propose a classification algorithm for P300-based Brain Computer Interface (BCI). ...
Brain Computer Interface (BCI) with P300 speller helps Amyotrophic Lateral Sclerosis (ALS) patients to spell words with the help of their brain signal activities. ...
Analysis (LDA), Fisher's discriminant analysis (FDA), Independent Component Analysis (ICA), Wavelets, and Support Vector Machine (SVM). ...
doi:10.14257/ijseia.2015.9.5.23
fatcat:5mwp4dhvpbeqvj24mfb3q35qim
Single-trial discrimination for integrating simultaneous EEG and fMRI: Identifying cortical areas contributing to trial-to-trial variability in the auditory oddball task
2009
NeuroImage
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Our results show that trial-to-trial variability in EEG components, acquired simultaneously with fMRI, can yield task-relevant BOLD activations that are otherwise unobservable using traditional fMRI analysis ...
Here we simultaneously recorded EEG and fMRI during an auditory oddball task and identified cortical areas correlated with the trial-to-trial variability of task-discriminating EEG components. ...
We thank Mark Cohen, Amir Abrishami, William Thomas, and Eric Black for their contributions in designing and building the EEG system, and Charles Brown III for programming and technical assistance. ...
doi:10.1016/j.neuroimage.2009.03.062
pmid:19345734
pmcid:PMC2789455
fatcat:qs3acen2lrb47iksgc3km2vkaa
« Previous
Showing results 1 — 15 out of 4,403 results