Literature DB >> 25008087

Intrinsic frequency for a systems approach to haemodynamic waveform analysis with clinical applications.

Niema M Pahlevan1, Peyman Tavallali2, Derek G Rinderknecht3, Danny Petrasek4, Ray V Matthews5, Thomas Y Hou2, Morteza Gharib6.   

Abstract

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.
© 2014 The Author(s) Published by the Royal Society. All rights reserved.

Entities:  

Keywords:  arterial pressure; cardiovascular disease; instantaneous frequency; pulse wave analysis; systems science; ventricular/arterial coupling

Mesh:

Year:  2014        PMID: 25008087      PMCID: PMC4233710          DOI: 10.1098/rsif.2014.0617

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  18 in total

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Authors:  Niema M Pahlevan; Morteza Gharib
Journal:  PLoS One       Date:  2014-01-24       Impact factor: 3.240

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  7 in total

1.  Intrinsic Frequency and the Single Wave Biopsy: Implications for Insulin Resistance.

Authors:  Danny Petrasek; Niema M Pahlevan; Peyman Tavallali; Derek G Rinderknecht; Morteza Gharib
Journal:  J Diabetes Sci Technol       Date:  2015-07-16

2.  On the convergence and accuracy of the cardiovascular intrinsic frequency method.

Authors:  Peyman Tavallali; Thomas Y Hou; Derek G Rinderknecht; Niema M Pahlevan
Journal:  R Soc Open Sci       Date:  2015-12-16       Impact factor: 2.963

3.  Intrinsic Frequencies of Carotid Pressure Waveforms Predict Heart Failure Events: The Framingham Heart Study.

Authors:  Leroy L Cooper; Jian Rong; Niema M Pahlevan; Derek G Rinderknecht; Emelia J Benjamin; Naomi M Hamburg; Ramachandran S Vasan; Martin G Larson; Morteza Gharib; Gary F Mitchell
Journal:  Hypertension       Date:  2021-01-04       Impact factor: 10.190

4.  Artificial Intelligence Estimation of Carotid-Femoral Pulse Wave Velocity using Carotid Waveform.

Authors:  Peyman Tavallali; Marianne Razavi; Niema M Pahlevan
Journal:  Sci Rep       Date:  2018-01-17       Impact factor: 4.379

Review 5.  Intrinsic Frequency Analysis and Fast Algorithms.

Authors:  Peyman Tavallali; Hana Koorehdavoudi; Joanna Krupa
Journal:  Sci Rep       Date:  2018-03-20       Impact factor: 4.379

6.  On the accuracy of displacement-based wave intensity analysis: Effect of vessel wall viscoelasticity and nonlinearity.

Authors:  Jingyi Kang; Arian Aghilinejad; Niema M Pahlevan
Journal:  PLoS One       Date:  2019-11-01       Impact factor: 3.240

7.  Proof-of-concept for a non-invasive, portable, and wireless device for cardiovascular monitoring in pediatric patients.

Authors:  Jennifer C Miller; Jennifer Shepherd; Derek Rinderknecht; Andrew L Cheng; Niema M Pahlevan
Journal:  PLoS One       Date:  2020-01-03       Impact factor: 3.240

  7 in total

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