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Signal Quality Indices and Data Fusion for Determining Acceptability of Electrocardiograms Collected in Noisy Ambulatory Environments

Abstract:

An algorithm to detect poor quality ECGs collected in low-resource environments is described (and was entered in the PhysioNet/Computing in Cardiology Challenge 2011 'Improving the quality of ECGs collected using mobile phones'). The algorithm is based on previously published signal quality metrics, with some novel additions, designed for intensive care monitoring. The algorithms have been adapted for use on short (10s) 12-lead ECGs. The metrics quantify spectral energy distribution, higher o...

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Publication status:
Published

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Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
More by this author
Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Journal:
2011 COMPUTING IN CARDIOLOGY
Volume:
38
Pages:
285-288
Publication date:
2011
EISSN:
2325-887X
ISSN:
2325-8861
URN:
uuid:f109739c-778f-4ea6-85f8-a4703a4aff49
Source identifiers:
325137
Local pid:
pubs:325137
Language:
English

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