Journal article

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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APA Style

Clifford, G., Tarassenko, L., & Townsend, N. (2001). One-pass training of optimal architecture auto-associative neural network for detecting ectopic beats. ELECTRONICS LETTERS, 37(18), 1126–1127.

MLA Style

Clifford, G., et al. “One-Pass Training of Optimal Architecture Auto-Associative Neural Network for Detecting Ectopic Beats.” ELECTRONICS LETTERS, vol. 37, no. 18, 2001, pp. 1126–27.

Chicago Style

Clifford, G, L Tarassenko, and N Townsend. 2001. “One-Pass Training of Optimal Architecture Auto-Associative Neural Network for Detecting Ectopic Beats.” ELECTRONICS LETTERS 37 (18): 1126–27.
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Publisher copy:: 10.1049/el:20010762

Authors

+ Clifford, G More by this author

Role:: Author

+ Tarassenko, L More by this author

Institution:: University of Oxford
Division:: MPLS
Department:: Engineering Science
Sub department:: Institute of Biomedical Engineering
Role:: Author

+ Townsend, N More by this author

Role:: Author

Journal:: ELECTRONICS LETTERS More from this journal
Volume:: 37
Issue:: 18
Pages:: 1126-1127
Publication date:: 2001-08-30
DOI:: 10.1049/el:20010762
ISSN:: 0013-5194

Language:: English
Pubs id:: pubs:61599
UUID:: uuid:f441f754-23cc-4d80-ade4-9f6c39de8102
Local pid:: pubs:61599
Source identifiers:: 61599
Deposit date:: 2012-12-19

Terms of use

Copyright date:: 2001

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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