- 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...
Expand abstract - Publication status:
- Published
- Publisher copy:
- 10.1023/A:1011373923479
-
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- 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
- Copyright date:
- 2001
Journal article
Detection of ectopic beats in the electrocardiogram using an auto-associative neural network
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