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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
Department:
Oxford, MPLS, Engineering Science
Role:
Author
Journal:
IEEE transactions on bio-medical engineering
Volume:
60
Issue:
6
Pages:
1660-1666
Publication date:
2013-06-05
DOI:
EISSN:
1558-2531
ISSN:
0018-9294
URN:
uuid:1bf85b06-b8d5-45de-a622-6cb145b1f88b
Source identifiers:
403234
Local pid:
pubs:403234

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