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.
Highlights
The blood pressure is an important indicator of cardiovascular circulation
This study examined the potential usage of empirical mode decomposition (EMD) on blood pressure variability (BPV) measurement and provided the reliable estimation of BPV based on adaptive frequency band
The results showed the consistent investigation between conventional BPV and adaptive BPV
Summary
The blood pressure is an important indicator of cardiovascular circulation. The blood pressure variability (BPV) is a reliable technique for quantitative assessment of the status of auto-regulation in cardiovascular circulation [2,3]. Conventional BPV adopted spectral analysis, based on fast Fourier transform (FFT) or discrete wavelet transform (DWT), for the measurement of the magnitude at each frequency band [6,7]. Lots of clinical BPV studies investigated that each frequency band indicated different neurohumoral systems mechanisms involved in non-stationary dynamic auto-regulation. Very low frequency fluctuations (VLF, 0.01-0.04Hz) indicate myogenic vascular function [8,9]. 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
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