1998
DOI: 10.1073/pnas.95.9.4816
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Engineering analysis of biological variables: An example of blood pressure over 1 day

Abstract: Almost all variables in biology are nonstationarily stochastic. For these variables, the conventional tools leave us a feeling that some valuable information is thrown away and that a complex phenomenon is presented imprecisely. Here, we apply recent advances initially made in the study of ocean waves to study the blood pressure waves in the lung. We note first that, in a long wave train, the handling of the local mean is of predominant importance. It is shown that a signal can be described by a sum of a serie… Show more

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Cited by 192 publications
(135 citation statements)
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“…In the EMD applications reported in literature [18,19,20,21], the extracted modes are speculatively associated with specific physical or physiological aspects of the phenomenon investigated. In this application we demonstrated the association of the first IMF extracted from a tachogram with the simultaneously recorded respiratory signal.…”
Section: Discussionmentioning
confidence: 99%
“…In the EMD applications reported in literature [18,19,20,21], the extracted modes are speculatively associated with specific physical or physiological aspects of the phenomenon investigated. In this application we demonstrated the association of the first IMF extracted from a tachogram with the simultaneously recorded respiratory signal.…”
Section: Discussionmentioning
confidence: 99%
“…The original MMPF applies the empirical mode decomposition algorithm to decompose complex BP and BFV signals into multiple empirical modes (called intrinsic mode functions) with each mode representing a frequency-amplitude modulation in a narrow band that can be related to a specific physiologic process [31]. For a time series x(t) with at least 2 extremes, the decomposition uses a sifting procedure to extract mode functions one by one from a finest scale to the largest scale, (1) where s k (t) is the kth mode function and r k (t) is the residual after extracting the first k mode functions.…”
Section: Iid1 Signal Decomposition-mentioning
confidence: 99%
“…(vi) If the VA is small enough (less than a chosen threshold VA max , typically between 0.2 and 0.3) [31], the kth mode function is assigned as s k (t) = h i (t) and r k (t) = r k−1 (t) − s k (t); Otherwise repeat steps (ii) to (v) for i + 1 until VA < VA max .…”
Section: Iid1 Signal Decomposition-mentioning
confidence: 99%
“…13 The first application of this method to biological waves was in the study of blood pressure waves in rats. 15 Recently, it has been used to study EMG 26 and ECG 24 waves. To our knowledge, there are no known applications of EMD to blood flow waves, nor has there been any analysis of blood flow waves in the awake, free ranging condition.…”
Section: Introductionmentioning
confidence: 99%