Improved respiration rate estimation using a Kalman filter and wavelet cross-coherence

Alistair E.W. Johnson*, Sharath R. Cholleti, Timothy G. Buchman, Gari D. Clifford

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

Introduction: Respiration rate is a common measurement in the intensive care unit (ICU) which is well correlated with patient severity. However, automated estimation of the respiration rate, especially when the patient is not intubated, is prone to large errors. Here we present a method of merging respiration estimates from the electrocardiogram (ECG) merged based on a novel signal quality index.

Original languageEnglish
Title of host publicationComputing in Cardiology 2013, CinC 2013
Pages791-794
Number of pages4
StatePublished - 2013
Externally publishedYes
Event2013 40th Computing in Cardiology Conference, CinC 2013 - Zaragoza, Spain
Duration: 22 Sep 201325 Sep 2013

Publication series

NameComputing in Cardiology
Volume40
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X

Conference

Conference2013 40th Computing in Cardiology Conference, CinC 2013
Country/TerritorySpain
CityZaragoza
Period22/09/1325/09/13

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