Literature DB >> 24427224

A comparison study of two P300 speller paradigms for brain-computer interface.

Jiahui Pan1, Yuanqing Li2, Zhenghui Gu2, Zhuliang Yu2.   

Abstract

In this paper, a comparison of two existing P300 spellers is conducted. In the first speller, the visual stimuli of characters are presented in a single character (SC) paradigm and each button corresponding to a character flashes individually in a random order. The second speller is based on a region-based (RB) paradigm. In the first level, all characters are grouped and each button corresponding to a group flashes individually in a random order. Once a group is selected, the characters in it will appear on the flashing buttons of the second level for the selection of desired character. In a spelling experiment involving 12 subjects, higher online accuracy was obtained on the RB paradigm-based P300 speller than the SC paradigm-based P300 speller. Furthermore, we analyzed P300 detection performance, the P300 waveforms and Fisher ratios using the data collected by the two spellers. It was found that the stimuli display paradigm of the RB speller enhances P300 potential and is more suitable for P300 detection.

Entities:  

Keywords:  Brain–computer interface (BCI); P300; Paradigm; Speller

Year:  2013        PMID: 24427224      PMCID: PMC3825150          DOI: 10.1007/s11571-013-9253-1

Source DB:  PubMed          Journal:  Cogn Neurodyn        ISSN: 1871-4080            Impact factor:   5.082


  26 in total

1.  Subliminal visual oddball stimuli evoke a P300 component.

Authors:  E Bernat; H Shevrin; M Snodgrass
Journal:  Clin Neurophysiol       Date:  2001-01       Impact factor: 3.708

2.  The mental prosthesis: assessing the speed of a P300-based brain-computer interface.

Authors:  E Donchin; K M Spencer; R Wijesinghe
Journal:  IEEE Trans Rehabil Eng       Date:  2000-06

Review 3.  Brain-computer interfaces for communication and control.

Authors:  Jonathan R Wolpaw; Niels Birbaumer; Dennis J McFarland; Gert Pfurtscheller; Theresa M Vaughan
Journal:  Clin Neurophysiol       Date:  2002-06       Impact factor: 3.708

4.  P300 amplitude is determined by target-to-target interval.

Authors:  Craig L Gonsalvez; John Polich
Journal:  Psychophysiology       Date:  2002-05       Impact factor: 4.016

5.  Investigation of changes in EEG complexity during memory retrieval: the effect of midazolam.

Authors:  Nasibeh Talebi; Ali M Nasrabadi; Tim Curran
Journal:  Cogn Neurodyn       Date:  2012-07-22       Impact factor: 5.082

6.  Visual modifications on the P300 speller BCI paradigm.

Authors:  M Salvaris; F Sepulveda
Journal:  J Neural Eng       Date:  2009-07-15       Impact factor: 5.379

7.  Semi-supervised joint spatio-temporal feature selection for P300-based BCI speller.

Authors:  Jinyi Long; Zhenghui Gu; Yuanqing Li; Tianyou Yu; Feng Li; Ming Fu
Journal:  Cogn Neurodyn       Date:  2011-08-19       Impact factor: 5.082

8.  Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials.

Authors:  L A Farwell; E Donchin
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1988-12

9.  The P300-based brain-computer interface (BCI): effects of stimulus rate.

Authors:  Dennis J McFarland; William A Sarnacki; George Townsend; Theresa Vaughan; Jonathan R Wolpaw
Journal:  Clin Neurophysiol       Date:  2010-11-09       Impact factor: 3.708

10.  How many people are able to control a P300-based brain-computer interface (BCI)?

Authors:  Christoph Guger; Shahab Daban; Eric Sellers; Clemens Holzner; Gunther Krausz; Roberta Carabalona; Furio Gramatica; Guenter Edlinger
Journal:  Neurosci Lett       Date:  2009-06-21       Impact factor: 3.046

View more
  6 in total

1.  Usage of drip drops as stimuli in an auditory P300 BCI paradigm.

Authors:  Minqiang Huang; Jing Jin; Yu Zhang; Dewen Hu; Xingyu Wang
Journal:  Cogn Neurodyn       Date:  2017-11-16       Impact factor: 5.082

2.  LEDPatNet19: Automated Emotion Recognition Model based on Nonlinear LED Pattern Feature Extraction Function using EEG Signals.

Authors:  Turker Tuncer; Sengul Dogan; Abdulhamit Subasi
Journal:  Cogn Neurodyn       Date:  2021-11-25       Impact factor: 3.473

3.  A novel approach for designing authentication system using a picture based P300 speller.

Authors:  Nikhil Rathi; Rajesh Singla; Sheela Tiwari
Journal:  Cogn Neurodyn       Date:  2021-01-30       Impact factor: 3.473

Review 4.  Bacomics: a comprehensive cross area originating in the studies of various brain-apparatus conversations.

Authors:  Dezhong Yao; Yangsong Zhang; Tiejun Liu; Peng Xu; Diankun Gong; Jing Lu; Yang Xia; Cheng Luo; Daqing Guo; Li Dong; Yongxiu Lai; Ke Chen; Jianfu Li
Journal:  Cogn Neurodyn       Date:  2020-03-17       Impact factor: 3.473

Review 5.  Decoding Movement From Electrocorticographic Activity: A Review.

Authors:  Ksenia Volkova; Mikhail A Lebedev; Alexander Kaplan; Alexei Ossadtchi
Journal:  Front Neuroinform       Date:  2019-12-03       Impact factor: 4.081

6.  Fusion of Facial Expressions and EEG for Multimodal Emotion Recognition.

Authors:  Yongrui Huang; Jianhao Yang; Pengkai Liao; Jiahui Pan
Journal:  Comput Intell Neurosci       Date:  2017-09-19
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.