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One-pass training of optimal architecture auto-associative neural network for detecting ectopic beats

Abstract:
A method for detection of ectopic beat in the electrocardiogram using an auto-associative neural network was presented. It utilises principal component analysis for optimizing the complexity of the neural network and uses singular value decomposition for determining the initial values for the weights. The trained weights could be updated on-line with back propagation with floating point operations.
Publication status:
Published

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Publisher copy:
10.1049/el:20010762

Authors


Clifford, G More by this author
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science, Biomedical Research Centre
Townsend, N More by this author
Journal:
ELECTRONICS LETTERS
Volume:
37
Issue:
18
Pages:
1126-1127
Publication date:
2001-08-30
DOI:
ISSN:
0013-5194
URN:
uuid:f441f754-23cc-4d80-ade4-9f6c39de8102
Source identifiers:
61599
Local pid:
pubs:61599
Language:
English

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