- 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...
Expand abstract - Publication status:
- Published
- Publisher copy:
- 10.1109/tbme.2013.2240452
-
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- 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
- Copyright date:
- 2013
Journal article
ECG signal quality during arrhythmia and its application to false alarm reduction.
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