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Depicting Respiratory Characteristics of Blood Pressure Signal by Using Empirical Mode Decomposition | OMICS International | Abstract
ISSN: 2161-105X

Journal of Pulmonary & Respiratory Medicine
Open Access

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Research Article

Depicting Respiratory Characteristics of Blood Pressure Signal by Using Empirical Mode Decomposition

Chia-Chi Chang1,2,3, Tzu-Chien Hsiao1,3,4 and Hung-Yi Hsu5,6*

1Biomedical Electronics Translational Research Center, National Chiao Tung University, Taiwan, R.O.C

2Department of Electronics Engineering and Institute of Electronics, National Chiao Tung University, Taiwan, R.O.C

3Institute of Biomedical Engineering, National Chiao Tung University, Taiwan, R.O.C

4Department of Computer Science, National Chiao Tung University, Taiwan, R.O.C

5Department of Neurology, School of Medicine, Chung Shan Medical University, Taichung, Taiwan, R.O.C

6Section of Neurology, Department of Internal Medicine, Tungs’ Taichung Metro Harbor Hospital, Taichung, Taiwan, R.O.C

*Corresponding Author:
Hung-Yi Hsu
Department of Neurology
Tungs’ Taichung Metro Harbor Hospital
No. 699, Sec. 1, Jhongci Road, Wuci District
Taichung 435, Taiwan, R.O.C
Tel: +886-9-10597960
Fax: +886-4-26582193
E-mail: [email protected]

Received date: July 08, 2014; Accepted date: October 20, 2014; Published date: October 24, 2014

Citation: Chang CC, Hsiao TC, Hsu HY (2014) Depicting Respiratory Characteristics of Blood Pressure Signal by Using Empirical Mode Decomposition. J Pulm Respir Med 4:209. doi:10.4172/2161-105X.1000209

Copyright: © 2014 Chang CC, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Aim: To explore adequate parameters for EMD of ABP signal; to determine the intrinsic characteristics of ABP waveform through the analysis of IMFs’ averaged period and its energy density; to examine the effect of different respiration patterns on IMFs extracted from ABP waveform by CEEMD.

Arterial blood pressure (ABP) reflects cardiac function, vessel compliance, and cardiorespiratory interaction and ABP analysis provides the estimators of this physiological information. But it is inconvenient for quantitative ABP assessment due to several influences, such as respiration. Recently, a novel adaptive method, called empirical mode decomposition (EMD), was proposed, and it was useful for non-stationary intrinsic characteristics extraction. Though some literatures examined that EMD helps for physiological signal analysis study, the method applied for ABP signal still needs further investigation. This study proposed a standard procedure of specific EMD for ABP intrinsic characterization during spontaneous breathing, 6-cycle breathing, and hyperventilation. The extracted components, called intrinsic mode functions (IMFs), were determined with the examined parameters, including ensemble number, added noise, and the stop criterion. The IMFs of ABP signal were categorized into five major intrinsic components, including the noise and irregular fluctuation (IMF1), beat-to-beat cardiac intervals (IMF2), characteristics of pressure waveform morphology (IMF3), base beat (IMF4), and respiratory related fluctuation (IMF5 and IMF6).

The results showd that the characteristics of IMFs were quantified by averaged period and corresponding energy density with good reproducibility. The proposed algorithm produced meaningful IMFs representing the cardiac rhythm, intrinsic waveform mophology, and the intrinsic influence of respiration fluctuations. EMD helps for analyzing the underlying mechanisms of control processes, including cardiorespiratory coupling and interactions among organ systems at multiple time scales.