Key result
Empirical mode decomposition provided adaptive frequency band measurements of blood pressure variability that were highly correlated (r > 0.7) with conventional fixed frequency band power during physiological challenges.
Why the study?
Does adaptive frequency band measurement using empirical mode decomposition (EMD) reliably assess blood pressure variability compared to conventional spectral analysis in healthy subjects?
Observational (n=15)
No
Does adaptive frequency band measurement using empirical mode decomposition (EMD) reliably assess blood pressure variability compared to conventional spectral analysis in healthy subjects?
Empirical mode decomposition provides a reliable, adaptive method for measuring blood pressure variability during nonstationary conditions, correlating well with conventional fixed-band spectral analysis.
Should not yet change clinical BP variability assessment; leaves open EMD validation in disease states.
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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Chia Chi Chang Tzu Chien Hsiao (2015) conducted an observational in Healthy (n=15). Empirical mode decomposition (EMD) for blood pressure variability vs. Conventional spectral analysis (fixed frequency band) was evaluated on Correlation between EMD-extracted non-stationary intrinsic trends and conventional fixed frequency band power (r > 0.7). Empirical mode decomposition provided adaptive frequency band measurements of blood pressure variability that were highly correlated (r > 0.7) with conventional fixed frequency band power during physiological challenges.
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