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A Single Channel ECG Quality Metric

Abstract:

We describe a framework for automated electrocardiogram (ECG) quality assessment which works in both normal and arrhythmic situations, on an arbitrary number of ECG leads and for time periods of as short as five seconds. Originally developed for the Physionet/Computing in Cardiology (CinC) Challenge 2011, we present here an extension to our original works with improved quality metrics. We manually annotated the 18000 single lead from the Challenge dataset as well as 9452, 10s segments (of bot...

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Publication status:
Published

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Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Journal:
2012 COMPUTING IN CARDIOLOGY (CINC), VOL 39
Volume:
39
Pages:
381-384
Publication date:
2012
EISSN:
2325-887X
ISSN:
0276-6574
URN:
uuid:a50ce436-7a2c-47fb-9f82-35f25d3fd6c6
Source identifiers:
396104
Local pid:
pubs:396104
Language:
English

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