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ECG signal quality during arrhythmia and its application to false alarm reduction.

Abstract:

An automated algorithm to assess electrocardiogram (ECG) quality for both normal and abnormal rhythms is presented for false arrhythmia alarm suppression of intensive care unit (ICU) monitors. A particular focus is given to the quality assessment of a wide variety of arrhythmias. Data from three databases were used: the Physionet Challenge 2011 dataset, the MIT-BIH arrhythmia database, and the MIMIC II database. The quality of more than 33 000 single-lead 10 s ECG segments were manually asses...

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Publication status:
Published

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Publisher copy:
10.1109/tbme.2013.2240452

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
Journal:
IEEE transactions on bio-medical engineering
Volume:
60
Issue:
6
Pages:
1660-1666
Publication date:
2013-06-01
DOI:
EISSN:
1558-2531
ISSN:
0018-9294
Source identifiers:
403234
Language:
English
Keywords:
Pubs id:
pubs:403234
UUID:
uuid:1bf85b06-b8d5-45de-a622-6cb145b1f88b
Local pid:
pubs:403234
Deposit date:
2013-11-17

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