Multivariate autoregressive models for classification of spontaneous electroencephalographic signals during mental tasks

IEEE Transactions on Biomedical Engineering

Volumn 45, Issue 3, 1998, Pages 277-286

  Anderson, Charles W ^a   Stolz, Erik A ^a   Shamsunder, Sanyogita ^a  

^a Department of Computer Science   (United States)

Author keywords

Electroencephalogram; Multivariate autoregressive models; Neural networks

Indexed keywords

ALGORITHMS; BACKPROPAGATION; CORRELATION METHODS; EIGENVALUES AND EIGENFUNCTIONS; FEATURE EXTRACTION; FEEDFORWARD NEURAL NETWORKS; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; MATRIX ALGEBRA; REGRESSION ANALYSIS; VECTORS;

KARHUNEN-LOEVE TRANSFORM; MENTAL TASKS; MULTIVARIATE AUTOREGRESSIVE MODELS;

ELECTROENCEPHALOGRAPHY;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; ELECTROENCEPHALOGRAM; HUMAN; HUMAN EXPERIMENT; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; MENTAL TASK; PARALYSIS;

ELECTROENCEPHALOGRAPHY; FEASIBILITY STUDIES; HUMANS; MENTAL PROCESSES; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; NEURAL NETWORKS (COMPUTER); REGRESSION ANALYSIS;

EID: 0032031368     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/10.661153     Document Type: Article

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