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Detection of ectopic beats in the electrocardiogram using an auto-associative neural network

Abstract:

Abnormal rhythms of the heart are often preceded by the occurrence of ectopic beats. These are difficult to detect as their shape is not very different from that of a normal QRS complex, the main feature in the electrocardiogram. We show how an auto-associative multi-layer perception can be trained to detect normal beats only, so that the subtle abnormalities in shape of ectopic beats become clearly identifiable. This is a generic detector of abnormal beats (i.e. beats whose morphology is dif...

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Publication status:
Published

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Publisher copy:
10.1023/A:1011373923479

Authors


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Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science, Biomedical Research Centre
Role:
Author
Journal:
NEURAL PROCESSING LETTERS
Volume:
14
Issue:
1
Pages:
15-25
Publication date:
2001-08-05
DOI:
ISSN:
1370-4621
URN:
uuid:03df719c-e94b-4b86-967a-b4f39de79889
Source identifiers:
61601
Local pid:
pubs:61601
Language:
English

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