Title: Assessment of autonomic nervous system by using empirical mode decomposition-based reflection wave analysis during non-stationary conditions
Authors: Chang, C. C.
Kao, S. C.
Hsiao, T. C.
Hsu, H. Y.
Institute of Molecular Medicine and Bioengineering
Department of Computer Science
Department of Electronics Engineering and Institute of Electronics
D Link NCTU Joint Res Ctr
Biomedical Electronics Translational Research Center
Issue Date: 1-Sep-2014
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.
URI: http://dx.doi.org/10.1088/0967-3334/35/9/1873
ISSN: 0967-3334
DOI: 10.1088/0967-3334/35/9/1873
Volume: 35
Issue: 9
Begin Page: 1873
End Page: 1883
Appears in Collections:Articles