title: Intrinsic Frequency and the Single Wave Biopsy: Implications for Insulin Resistance.
abstract: Insulin resistance is the hallmark of classical type II diabetes. In addition, insulin resistance plays a central role in metabolic syndrome, which astonishingly affects 1 out of 3 adults in North America. The insulin resistance state can precede the manifestation of diabetes and hypertension by years. Insulin resistance is correlated with a low-grade inflammatory condition, thought to be induced by obesity as well as other conditions. Currently, the methods to measure and monitor insulin resistance, such as the homeostatic model assessment and the euglycemic insulin clamp, can be impractical, expensive, and invasive. Abundant evidence exists that relates increased pulse pressure, pulse wave velocity (PWV), and vascular dysfunction with insulin resistance. We introduce a potential method of assessing insulin resistance that relies on a novel signal-processing algorithm, the intrinsic frequency method (IFM). The method requires a single pulse pressure wave, thus the term " wave biopsy."
authors.affiliation: Medical Engineering, Division of Engineering and Applied Sciences, California Institute of Technology, Pasadena, CA, USA petrasek@caltech.edu.
authors.forename: Danny
authors.initials: D
authors.lastname: Petrasek
authors.affiliation: Medical Engineering, Division of Engineering and Applied Sciences, California Institute of Technology, Pasadena, CA, USA Huntington Memorial Research Institute, Pasadena, CA, USA.
authors.forename: Niema M
authors.initials: NM
authors.lastname: Pahlevan
authors.affiliation: Applied and Computational Mathematics, Division of Engineering and Applied Sciences, California Institute of Technology, Pasadena, CA, USA.
authors.forename: Peyman
authors.initials: P
authors.lastname: Tavallali
authors.affiliation: Graduate Aerospace Laboratories, Division of Engineering and Applied Sciences, California Institute of Technology, Pasadena CA, USA.
authors.forename: Derek G
authors.initials: DG
authors.lastname: Rinderknecht
authors.affiliation: Graduate Aerospace Laboratories, Division of Engineering and Applied Sciences, California Institute of Technology, Pasadena CA, USA.
authors.forename: Morteza
authors.initials: M
authors.lastname: Gharib
mesh_terms: D000465:Algorithms; D001011:Aorta / Q000503:physiopathology*; D062186:Arterial Pressure; D003198:Computer Simulation; D006801:Humans; D007333:Insulin Resistance; D016014:Linear Models; D024821:Metabolic Syndrome / Q000175:diagnosis* / Q000503:physiopathology; D008955:Models, Cardiovascular; D011237:Predictive Value of Tests; D063177:Pulse Wave Analysis / Q000379:methods*; D014652:Vascular Diseases / Q000175:diagnosis* / Q000503:physiopathology; D059289:Vascular Stiffness
keywords: aortic rigidity; inflammation; insulin resistance; pulse wave velocity; time frequency analysis