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Estimation of Missing Data in Multi-channel Physiological Time-series by Average Substitution with Timing from a Reference Channel

Lookup NU author(s): Dr Philip Langley, Dr Dingchang Zheng, Roberto Giovannini, Marjan Bojarnejad, Emeritus Professor Alan MurrayORCiD


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The Computing in Cardiology Challenge 2010 was to develop a computer algorithm for reconstructing missing sections of physiological data.For cardiac related signals our algorithm obtained beat timings from a reference timing channel. Missing beats were estimated from the average of non-missing beats. ECG derived respiration was used for missing respiratory data. Score for event 1 was 59 and for event 2 was 72.Good scores were achieved despite beat-to-beat reconstructions that lacked important physiological detail, serving to illustrate that it is essential to evaluate the clinical impact of reconstruction algorithms.

Publication metadata

Author(s): Langley P, King S, Wang K, Zheng DC, Giovannini R, Bojarnejad M, Murray A

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Computing in Cardiology 2010

Year of Conference: 2010

Pages: 309-312

Online publication date: 22/03/2011

ISSN: 0276-6574

Publisher: IEEE


Library holdings: Search Newcastle University Library for this item

ISBN: 9781424473182