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A single channel-single trial P300 detection algorithm

Neda Haghighatpanah, Rasoul Amirfattahi, Vahid Abootalebi, Behzad Nazari
2013 2013 21st Iranian Conference on Electrical Engineering (ICEE)  
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

Cota Navin Gupta, Ramaswamy Palaniappan
2007 Computational Intelligence and Neuroscience  
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

Chin-Teng Lin, I-Fang Chung, Li-Wei Ko, Yu-Chieh Chen, Sheng-Fu Liang, Jeng-Ren Duann
2007 IEEE Transactions on Biomedical Engineering  
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  
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

Ruijiang Li, Jose C. Principe, Margaret Bradley, Vera Ferrari
2007 2007 3rd International IEEE/EMBS Conference on Neural Engineering  
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

Ruijiang Li, Jose C. Principe, Margaret Bradley, Vera Ferrari
2007 IEEE Engineering in Medicine and Biology Society. Conference Proceedings  
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

Yi-Hung Liu, Han-Pang Huang, Tzu-Hao Huang, Zhi-Hao Kang, Jyh-Tong Teng
2013 International Journal of Automation and Smart Technology  
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

Martin Schürmann, Canan Başar-Eroglu, Vasil Kolev, Erol Başar
2001 International Journal of Psychophysiology  
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

Tzyy-Ping Jung, Scott Makeig, Marissa Westerfield, Jeanne Townsend, Eric Courchesne, Terrence J. Sejnowski
2000 Clinical Neurophysiology  
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

Zhimin Lin, Chi Zhang, Ying Zeng, Li Tong, Bin Yan
2018 Scientific Reports  
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

Zhimin Lin, Ying Zeng, Hui Gao, Li Tong, Chi Zhang, Xiaojuan Wang, Qunjian Wu, Bin Yan
2017 BioMed Research International  
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

S. Andrews, Ramaswamy Palaniappa, Andrew Teoh, Loo chu Kiong
2008 American Journal of Applied Sciences  
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

Scott Makeig, Arnaud Delorme, Marissa Westerfield, Tzyy-Ping Jung, Jeanne Townsend, Eric Courchesne, Terrence J Sejnowski, Rainer Goebel
2004 PLoS Biology  
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

Vanitha Narayan Raju, In-Ho Ra, Ravi Sankar
2015 International Journal of Software Engineering and Its Applications  
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

Robin I. Goldman, Cheng-Yu Wei, Marios G. Philiastides, Adam D. Gerson, David Friedman, Truman R. Brown, Paul Sajda
2009 NeuroImage  
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
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