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The Adaptive Frequency Band for Blood Pressure Variability Measurement during Nonstationary Conditions | OMICS International | Abstract
ISSN: 2161-105X

Journal of Pulmonary & Respiratory Medicine
Open Access

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Research Article

The Adaptive Frequency Band for Blood Pressure Variability Measurement during Nonstationary Conditions

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

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

2Department of Electronics Engineering & 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

5Section of Neurology, Department of Internal Medicine, Tungs’ Taichung Metro Harbor Hospital, Taichung, Taiwan, R.O.C

*Corresponding Author:
Hung-Yi Hsu
Section of Neurology
Department of Internal Medicine
Tungs’ Taichung Metro Harbor Hospital
No. 699, Sec. 8, Taiwan Blvd, Wuci District
Taichung 435, Taiwan R.O.C
Tel: +886-9-10597960
E-mail: [email protected]

Received date: November 11, 2014; Accepted date: December 15, 2014; Published date: December 18, 2014

Citation: Chang CC, Hsiao TC, Hsu HY (2014) The Adaptive Frequency Band for Blood Pressure Variability Measurement during Nonstationary Conditions. J Pulm Respir Med 5:230. doi:10.4172/2161-105X.1000230

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.

Abstract

Background: The variation of blood pressure indicates the status of cardiovascular circulation. The spectral analysis of blood pressure variability (BPV) provides a way to quantitatively assess the variations by specific fixed frequency band. Blood pressure contains various non-stationary fluctuations and varies individually. It is hard to assess the non-stationary characteristics based on stationary method.

Method: Recently, a novel adaptive extraction method, called empirical mode decomposition (EMD), was proposed and is capable to extract the non-stationary intrinsic trends from blood pressure waveform. Results: The results showed that the non-stationary intrinsic trends extracted by EMD are high correlated to the power in conventional fixed frequency band (r>0.7).

Conclusions: This study examined the potential usage of EMD on BPV measurement and provided the reliable estimation of BPV based on adaptive frequency band. Moreover, the main frequency of the non-stationary trend can be evaluated by this method. It helps for cardiovascular studies and the optimal frequency band exploration.

Keywords

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