Estimation of missing data in multi-channel physiological time-series by average substitution with timing from a reference channel

Philip Langley, Susan King, Kun Wang, Dingchang Zheng, Roberto Giovannini, Marjan Bojarnejad, Alan Murray

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

5 Citations (Scopus)

Abstract

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.
Original languageEnglish
Title of host publication2010 Computing in Cardiology
PublisherIEEE
Pages309−312
Number of pages4
Volume37
ISBN (Electronic)978-1-4244-7319-9
ISBN (Print)978-1-4244-7318-2
Publication statusPublished - 2010
Externally publishedYes
EventComputing in Cardiology 2010 Conference - Belfast, United Kingdom
Duration: 26 Sep 201029 Sep 2010

Publication series

Name
ISSN (Print)0276-6574
ISSN (Electronic)2325-8853

Conference

ConferenceComputing in Cardiology 2010 Conference
CountryUnited Kingdom
CityBelfast
Period26/09/1029/09/10

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Cite this

Langley, P., King, S., Wang, K., Zheng, D., Giovannini, R., Bojarnejad, M., & Murray, A. (2010). Estimation of missing data in multi-channel physiological time-series by average substitution with timing from a reference channel. In 2010 Computing in Cardiology (Vol. 37, pp. 309−312). IEEE.