Automatic EEG interpretation adaptable to individual electroencephalographer using artificial neural network

International Journal of Adaptive Control and Signal Processing

Volumn 16, Issue 1, 2002, Pages 25-37

  Nakamura, Masatoshi ^a,b   Sugi, Takenao ^a,b   Ikeda, Akio ^b   Shibasaki, Hiroshi ^a  

^a SAGA UNIVERSITY   (Japan)

^b KYOTO UNIVERSITY   (Japan)

Author keywords

Adaptability; Artificial neural network; EEG interpretation; Structural learning algorithm

Indexed keywords

LEARNING ALGORITHMS; NEURAL NETWORKS; PATTERN RECOGNITION;

STRUCTURAL LEARNING ALGORITHMS;

ELECTROENCEPHALOGRAPHY;

EID: 0036469492     PISSN: 08906327     EISSN: None     Source Type: Journal    
DOI: 10.1002/acs.662     Document Type: Article

References (14)

1. Automatic EEG interpretation: A new computer assisted system for the automatic integrative interpretation of awake background EEG
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7. A structural learning algorithm with forgetting of link weights
8. Dynamic node creation in back propagation networks
9. Working with neural networks
10. Quantitative representation for EEG interpretation and its automatic scoring
11. Avoiding false local minima by proper initialization of connections