Key result
Intrinsic frequency extraction from aortic pressure waves demonstrated that total frequency variation is close to zero at young ages and increases with age or cardiovascular disease.
Why the study?
Does intrinsic frequency extraction from aortic pressure waves provide a novel index for evaluating cardiovascular aging and disease?
Does intrinsic frequency extraction from aortic pressure waves provide a novel index for evaluating cardiovascular aging and disease?
A novel systems approach extracting intrinsic frequencies from aortic pressure waves demonstrates that frequency variation increases with age and cardiovascular diseases like heart failure and hypertension.
Answers are grounded in this paper and cite their sources.
May offer novel cardiovascular waveform insights; hypothesis-generating and requires prospective validation before any clinical use.
The reductionist approach has dominated the fields of biology and medicine for nearly a century. Here, we present a systems science approach to the analysis of physiological waveforms in the context of a specific case, cardiovascular physiology. Our goal in this study is to introduce a methodology that allows for novel insight into cardiovascular physiology and to show proof of concept for a new index for the evaluation of the cardiovascular system through pressure wave analysis. This methodology uses a modified version of sparse time-frequency representation (STFR) to extract two dominant frequencies we refer to as intrinsic frequencies (IFs; ω1 and ω2). The IFs are the dominant frequencies of the instantaneous frequency of the coupled heart + aorta system before the closure of the aortic valve and the decoupled aorta after valve closure. In this study, we extract the IFs from a series of aortic pressure waves obtained from both clinical data and a computational model. Our results demonstrate that at the heart rate at which the left ventricular pulsatile workload is minimized the two IFs are equal (ω1 = ω2). Extracted IFs from clinical data indicate that at young ages the total frequency variation (Δω = ω1 - ω2) is close to zero and that Δω increases with age or disease (e.g. heart failure and hypertension). While the focus of this paper is the cardiovascular system, this approach can easily be extended to other physiological systems or any biological signal.
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Pahlevan et al. (2014) studied Cardiovascular physiology. Intrinsic frequency extraction via sparse time-frequency representation was evaluated on Total frequency variation (Δω = ω1 - ω2). Intrinsic frequency extraction from aortic pressure waves demonstrated that total frequency variation is close to zero at young ages and increases with age or cardiovascular disease.
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