Reconstructing missing signals in multi-parameter physiologic data by mining the aligned contextual information

Yanen Li, Yu Sun, Parikshit Sondhi, Lui Sha, Chengxiang Zhai

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

Abstract

The PhysioNet Challenge 2010 is to recover missing segments of a particular signal in the given multiparameter physiologic data set. In this paper we propose a contextual information based framework to achieve robust reconstruction. For a given target signal that is to be reconstructed, our algorithm intelligently choose among three sub-algorithms to best recover the missing segments. Experiments are carried out on the Physionet/ CinC Challenge 2010 data sets. The results show that the proposed method is particularly effective on signals that have well aligned contextual signals.

Original languageEnglish (US)
Title of host publicationComputing in Cardiology 2010, CinC 2010
Pages449-452
Number of pages4
StatePublished - 2010
EventComputing in Cardiology 2010, CinC 2010 - Belfast, United Kingdom
Duration: Sep 26 2010Sep 29 2010

Publication series

NameComputing in Cardiology
Volume37
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X

Other

OtherComputing in Cardiology 2010, CinC 2010
Country/TerritoryUnited Kingdom
CityBelfast
Period9/26/109/29/10

ASJC Scopus subject areas

  • General Computer Science
  • Cardiology and Cardiovascular Medicine

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