Literature DB >> 15188867

An exploratory study of factors affecting single trial P300 detection.

Ben H Jansen1, Anand Allam, Prashant Kota, Kathleen Lachance, Ayokunle Osho, Karthik Sundaresan.   

Abstract

A threshold detector for single-trial P300 detection has been evaluated. The detector operates on the 0-4 Hz band, isolated from the raw electroencephalogram using low-pass filtering, wavelet transforms, or the piecewise prony method (PPM). A detection rate around 70% was found, irregardless of stimulus type, interstimulus interval (ISI), probability of occurrence (Pr) of the target stimuli, intrasession and intersession effects, or filtering method. This suggests that P300-based brain-machine interfaces can use an ISI as short as 1 s and a Pr of 45%, to increase throughput.

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Year:  2004        PMID: 15188867     DOI: 10.1109/TBME.2004.826684

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  11 in total

1.  Optimized stimulus presentation patterns for an event-related potential EEG-based brain-computer interface.

Authors:  Jing Jin; Brendan Z Allison; Eric W Sellers; Clemens Brunner; Petar Horki; Xingyu Wang; Christa Neuper
Journal:  Med Biol Eng Comput       Date:  2010-10-02       Impact factor: 2.602

2.  Novel hybrid brain-computer interface system based on motor imagery and P300.

Authors:  Cili Zuo; Jing Jin; Erwei Yin; Rami Saab; Yangyang Miao; Xingyu Wang; Dewen Hu; Andrzej Cichocki
Journal:  Cogn Neurodyn       Date:  2019-10-21       Impact factor: 5.082

3.  Comparative multiresolution wavelet analysis of ERP spectral bands using an ensemble of classifiers approach for early diagnosis of Alzheimer's disease.

Authors:  Robi Polikar; Apostolos Topalis; Deborah Green; John Kounios; Christopher M Clark
Journal:  Comput Biol Med       Date:  2006-09-20       Impact factor: 4.589

4.  An adaptive P300-based control system.

Authors:  Jing Jin; Brendan Z Allison; Eric W Sellers; Clemens Brunner; Petar Horki; Xingyu Wang; Christa Neuper
Journal:  J Neural Eng       Date:  2011-04-08       Impact factor: 5.379

5.  Targeting an efficient target-to-target interval for P300 speller brain-computer interfaces.

Authors:  Jing Jin; Eric W Sellers; Xingyu Wang
Journal:  Med Biol Eng Comput       Date:  2012-02-18       Impact factor: 2.602

6.  The changing face of P300 BCIs: a comparison of stimulus changes in a P300 BCI involving faces, emotion, and movement.

Authors:  Jing Jin; Brendan Z Allison; Tobias Kaufmann; Andrea Kübler; Yu Zhang; Xingyu Wang; Andrzej Cichocki
Journal:  PLoS One       Date:  2012-11-26       Impact factor: 3.240

7.  On the applicability of brain reading for predictive human-machine interfaces in robotics.

Authors:  Elsa Andrea Kirchner; Su Kyoung Kim; Sirko Straube; Anett Seeland; Hendrik Wöhrle; Mario Michael Krell; Marc Tabie; Manfred Fahle
Journal:  PLoS One       Date:  2013-12-16       Impact factor: 3.240

8.  Application of a hybrid wavelet feature selection method in the design of a self-paced brain interface system.

Authors:  Mehrdad Fatourechi; Gary E Birch; Rabab K Ward
Journal:  J Neuroeng Rehabil       Date:  2007-04-30       Impact factor: 4.262

9.  An Intelligent Man-Machine Interface-Multi-Robot Control Adapted for Task Engagement Based on Single-Trial Detectability of P300.

Authors:  Elsa A Kirchner; Su K Kim; Marc Tabie; Hendrik Wöhrle; Michael Maurus; Frank Kirchner
Journal:  Front Hum Neurosci       Date:  2016-06-21       Impact factor: 3.169

10.  A Hybrid FPGA-Based System for EEG- and EMG-Based Online Movement Prediction.

Authors:  Hendrik Wöhrle; Marc Tabie; Su Kyoung Kim; Frank Kirchner; Elsa Andrea Kirchner
Journal:  Sensors (Basel)       Date:  2017-07-03       Impact factor: 3.576

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