Literature DB >> 10896191

EEG-based communication: a pattern recognition approach.

W D Penny1, S J Roberts, E A Curran, M J Stokes.   

Abstract

We present an overview of our research into brain-computer interfacing (BCI). This comprises an offline study of the effect of motor imagery on EEG and an online study that uses pattern classifiers incorporating parameter uncertainty and temporal information to discriminate between different cognitive tasks in real-time.

Mesh：

Year:  2000        PMID： 10896191     DOI： 10.1109/86.847820

Source DB:  PubMed          Journal:  IEEE Trans Rehabil Eng        ISSN： 1063-6528


  10 in total

1.  Real-time brain-computer interfacing: a preliminary study using Bayesian learning.

Authors:  S J Roberts; W D Penny
Journal:  Med Biol Eng Comput       Date:  2000-01       Impact factor: 2.602

2.  Comparative study of SVM methods combined with voxel selection for object category classification on fMRI data.

Authors:  Sutao Song; Zhichao Zhan; Zhiying Long; Jiacai Zhang; Li Yao
Journal:  PLoS One       Date:  2011-02-16       Impact factor: 3.240

3.  EEG feature comparison and classification of simple and compound limb motor imagery.

Authors:  Weibo Yi; Shuang Qiu; Hongzhi Qi; Lixin Zhang; Baikun Wan; Dong Ming
Journal:  J Neuroeng Rehabil       Date:  2013-10-12       Impact factor: 4.262

4.  Low-Rank Linear Dynamical Systems for Motor Imagery EEG.

Authors:  Wenchang Zhang; Fuchun Sun; Chuanqi Tan; Shaobo Liu
Journal:  Comput Intell Neurosci       Date:  2016-12-21

5.  Fuzzy clustering-based feature extraction method for mental task classification.

Authors:  Akshansh Gupta; Dhirendra Kumar
Journal:  Brain Inform       Date:  2016-09-03

6.  A New Generation of Brain-Computer Interfaces Driven by Discovery of Latent EEG-fMRI Linkages Using Tensor Decomposition.

Authors:  Gopikrishna Deshpande; D Rangaprakash; Luke Oeding; Andrzej Cichocki; Xiaoping P Hu
Journal:  Front Neurosci       Date:  2017-06-07       Impact factor: 4.677

7.  A Novel Mu Rhythm-based Brain Computer Interface Design that uses a Programmable System on Chip.

Authors:  Rohan Joshi; Prateek Saraswat; Rudhram Gajendran
Journal:  J Med Signals Sens       Date:  2012-01

8.  Multiple modes of impulsivity in Parkinson's disease.

Authors:  Cristina Nombela; Timothy Rittman; Trevor W Robbins; James B Rowe
Journal:  PLoS One       Date:  2014-01-21       Impact factor: 3.240

9.  Determining Optimal Feature-Combination for LDA Classification of Functional Near-Infrared Spectroscopy Signals in Brain-Computer Interface Application.

Authors:  Noman Naseer; Farzan M Noori; Nauman K Qureshi; Keum-Shik Hong
Journal:  Front Hum Neurosci       Date:  2016-05-25       Impact factor: 3.169

10.  Hybrid EEG-fNIRS Asynchronous Brain-Computer Interface for Multiple Motor Tasks.

Authors:  Alessio Paolo Buccino; Hasan Onur Keles; Ahmet Omurtag
Journal:  PLoS One       Date:  2016-01-05       Impact factor: 3.240
  10 in total

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