Reflection wave analysis based on ensemble empirical mode decomposition

Sheng Chi Kao, Chia Chi Chang, Tzu-Chien Hsiao, Hung Yi Hsu*

*Corresponding author for this work

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

1 Scopus citations

Abstract

In recent studies, the reflection waveform analysis (RWA) in arterial blood pressure (ABP) is the important method for cardiovascular system assessment. But conventional RWA contains some limitations during several clinical experiments, such as the unrecognizable reflection waveform morphology during Valsalva maneuver (VM). This study proposed a new RWA based on ensemble empirical mode decomposition (EEMD), which extracted the intrinsic feature of ABP waveform, including reflection wave and trend of ABP. Furthermore, the reflection time (Tr) was computed by EEMD-based RWA and the results of agreement test showed that Tr can be estimated with unrecognizable reflection waveform. It helps for the cardiovascular system assessment during specific physiological challenges, such as VM. Moreover, it helps for cardiovascular auto-regulation studies for reflection wave monitoring by VM study.

Original languageEnglish
Title of host publication2013 E-Health and Bioengineering Conference, EHB 2013
DOIs
StatePublished - 1 Dec 2013
Event4th IEEE International Conference on E-Health and Bioengineering, EHB 2013 - Iasi, Romania
Duration: 21 Nov 201323 Nov 2013

Publication series

Name2013 E-Health and Bioengineering Conference, EHB 2013

Conference

Conference4th IEEE International Conference on E-Health and Bioengineering, EHB 2013
CountryRomania
CityIasi
Period21/11/1323/11/13

Keywords

  • ensemble empirical mode decomposition
  • reflection time
  • reflection waveform analysis
  • Valsalva maneuver

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