The forward EEG solutions can be computed using artificial neural networks

IEEE Transactions on Biomedical Engineering

Volumn 47, Issue 8, 2000, Pages 1044-1050

  Sun, M ^a   Sclabassi, R J ^a  

^a UNIVERSITY OF PITTSBURGH   (United States)

Author keywords

Artificial neural network; EEG; Efficient algorithm; Efficient computation; Electrostatic theory; Forward problem; Head geometry; Head model; Machine learning; Partial differential equation; Signal processing; Source localization

Indexed keywords

ALGORITHMS; BIOELECTRIC POTENTIALS; BOUNDARY ELEMENT METHOD; BRAIN; COMPUTER AIDED DIAGNOSIS; DIGITAL SIGNAL PROCESSING; FINITE ELEMENT METHOD; LEARNING SYSTEMS; MATHEMATICAL MODELS; MEDICAL COMPUTING; NEURAL NETWORKS; PARTIAL DIFFERENTIAL EQUATIONS;

ELECTROSTATIC THEORY; HEAD VOLUME CONDUCTOR MODEL; NEUROLOGICAL DISORDERS; SOURCE LOCALIZATION;

ELECTROENCEPHALOGRAPHY;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER MEMORY; CONDUCTOR; ELECTRIC CURRENT; ELECTROENCEPHALOGRAPHY; FINITE ELEMENT ANALYSIS; GENERATOR; HEAD; MATHEMATICAL COMPUTING; MICROCOMPUTER; MODEL; ONLINE SYSTEM;

BIOMEDICAL ENGINEERING; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; HUMANS; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER);

EID: 0034254452     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/10.855931     Document Type: Article

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