Critical issues in state-of-the-art brain-computer interface signal processing

被引：97

作者：

Krusienski, Dean J. ^{[1
]}

Grosse-Wentrup, Moritz ^{[2
]}

Galan, Ferran ^{[3
]}

Coyle, Damien ^{[4
]}

Miller, Kai J. ^{[5
,6
]}

Forney, Elliott ^{[7
]}

Anderson, Charles W. ^{[7
]}

机构：

[1] Old Dominion Univ, Dept Elect & Comp Engn, Norfolk, VA 23529 USA

[2] Max Planck Inst Biol Cybernet, Dept Empir Inference, Tubingen, Germany

[3] Univ Freiburg, Bernstein Ctr Computat Neurosci, Freiburg, Germany

[4] Univ Ulster, Intelligent Syst Res Ctr, Derry, North Ireland

[5] Univ Washington, Dept Neurobiol & Behav Phys, Seattle, WA 98195 USA

[6] Univ Washington, Dept Phys, Seattle, WA 98195 USA

[7] Colorado State Univ, Ft Collins, CO 80523 USA

来源：

JOURNAL OF NEURAL ENGINEERING | 2011年 / 8卷 / 02期

基金：

美国国家科学基金会; 英国工程与自然科学研究理事会; 美国国家航空航天局; 美国国家卫生研究院;

关键词：

TIME-SERIES PREDICTION; FEATURE-EXTRACTION; NEURAL-NETWORK; MOTOR IMAGERY; EEG ACTIVITY; PHASE; CORTEX; POWER; POTENTIALS; MOVEMENT;

D O I：

10.1088/1741-2560/8/2/025002

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper reviews several critical issues facing signal processing for brain-computer interfaces (BCIs) and suggests several recent approaches that should be further examined. The topics were selected based on discussions held during the 4th International BCI Meeting at a workshop organized to review and evaluate the current state of, and issues relevant to, feature extraction and translation of field potentials for BCIs. The topics presented in this paper include the relationship between electroencephalography and electrocorticography, novel features for performance prediction, time-embedded signal representations, phase information, signal non-stationarity, and unsupervised adaptation.

引用

页数：8

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