Separation of Cardiac- and Ventilation-related Signals within Electrical Impedance Tomography Data based on Multi-dimensional Ensemble Empirical Mode Decomposition

Xuxue Sun, Orschulik Jakob, Jaakko Malmivuo, Steffen Leonhardt

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

Abstract

Electrical impedance tomography (EIT) is an promising imaging technology for continuous bedside monitoring of ventilation and perfusion. However, due to the spatial and frequency overlapping of ventilation and cardiac components in the heart-lung interaction system, it's difficult to separate the components in spontaneous breathing subjects. We introduce an intuitive method based on multi-dimensional ensemble empirical mode decomposition to explore the intrinsic oscillation modes of the ventilation and cardiac components from EIT data. This study combines the spatial information with temporal information, and establishes the combination strategy for the two physiological components based on multi-scale analysis. Our study illustrates preliminary in-vivo results based on the data collected from two healthy male subjects, and qualitatively validates the efficiency of resolving the overlapping of ventilation and perfusion component. The method proposed in our study is believed to open up new possibilities for the assessment of lung ventilation and perfusion. In future work, quantitative validation for separation results of ventilation component and perfusion component will be conducted.

Original languageEnglish
Title of host publicationProceedings of the 20th IFAC World Congress, IFAC'2017
PublisherElsevier
Pages4436-4441
Number of pages6
Volume50
DOIs
Publication statusPublished - 1 Jul 2017
MoE publication typeA4 Article in a conference publication
EventIFAC World Congress - Toulouse, France
Duration: 9 Jul 201714 Jul 2017
Conference number: 20

Publication series

NameIFAC-PapersOnLine
PublisherElsevier
ISSN (Electronic)2405-8963

Conference

ConferenceIFAC World Congress
Abbreviated titleIFAC
CountryFrance
CityToulouse
Period09/07/201714/07/2017

Keywords

  • cardiac activity
  • electrical impedance tomography image processing
  • multi-scale analysis
  • ventilation separation

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