Assessment of autonomic nervous system by using empirical mode decomposition-based reflection wave analysis during non-stationary conditions

C. C. Chang, S. C. Kao, Tzu-Chien Hsiao, H. Y. Hsu

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

Arterial blood pressure (ABP) is an important indicator of cardiovascular circulation and presents various intrinsic regulations. It has been found that the intrinsic characteristics of blood vessels can be assessed quantitatively by ABP analysis (called reflection wave analysis (RWA)), but conventional RWA is insufficient for assessment during non-stationary conditions, such as the Valsalva maneuver. Recently, a novel adaptive method called empirical mode decomposition (EMD) was proposed for non-stationary data analysis. This study proposed a RWA algorithm based on EMD (EMD-RWA). A total of 51 subjects participated in this study, including 39 healthy subjects and 12 patients with autonomic nervous system (ANS) dysfunction. The results showed that EMD-RWA provided a reliable estimation of reflection time in baseline and head-up tilt (HUT). Moreover, the estimated reflection time is able to assess the ANS function non-invasively, both in normal, healthy subjects and in the patients with ANS dysfunction. EMD-RWA provides a new approach for reflection time estimation in non-stationary conditions, and also helps with non-invasive ANS assessment.

Original languageEnglish
Pages (from-to)1873-1883
Number of pages11
JournalPhysiological Measurement
Volume35
Issue number9
DOIs
StatePublished - 1 Sep 2014

Keywords

  • arterial blood pressure
  • autonomic nervous system
  • empirical mode decomposition
  • intrinsic mode function
  • reflection wave analysis

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