Research Article
Depicting Respiratory Characteristics of Blood Pressure Signal by Using
Empirical Mode Decomposition
Author(s): Chia-Chi Chang, Tzu-Chien Hsiao and Hung-Yi HsuChia-Chi Chang, Tzu-Chien Hsiao and Hung-Yi Hsu
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 a.. Read More»
DOI:
10.4172/2161-105X.1000209
Pulmonary & Respiratory Medicine received 1690 citations as per Google Scholar report