Fat and hydration monitoring by abdominal bioimpedance analysis: Data interpretation by hierarchical electrical modelling.

Hermann Scharfetter, Patricia Brunner, Bernhard Brandstätter, H. Hinghofer-Szalkay, Michael Mayer

Research output: Contribution to journalArticle

Abstract

In a previous publication, it was demonstrated that the abdominal subcutaneous fat layer thickness (SFL) is strongly correlated with the abdominal electrical impedance when measured with a transversal tetrapolar electrode arrangement. This article addresses the following questions: 1) To which extent do different abdominal compartments contribute to the impedance? 2) How does the hydration state of tissues affect the data? 3) Can hydration and fat content be assessed independently? For simulating the measured data a hierarchical electrical model was built. The abdomen was subdivided into three compartments (subcutaneous fat, muscle, mesentery). The true anatomical structure of the compartment boundaries was modeled using finite-element modeling (FEM). Each compartment is described by an electrical tissue model parameterized in physiological terms. Assuming the same percent change of the fat fraction in the mesentery and the SFL the model predicts a change of 1,24 /spl Omega//mm change of the SFL compared to 1,1 /spl Omega//mm measured. 42% of the change stem from the SFL, 56% from the mesentery and 2% from changes of fat within the muscle compartment. A 1% increase of the extracellular water in the muscle is not discernible from a 1% decrease of the SFL. The measured data reflect not only the SFL but also the visceral fat. The tetrapolar electrode arrangement allows the measurement of the abdominal fat content only if the hydration remains constant.
Original languageEnglish
Pages (from-to)975-982
JournalIEEE Transactions on Biomedical Engineering
Volume52
Issue number6
DOIs
Publication statusPublished - 2005

Fingerprint

Dive into the research topics of 'Fat and hydration monitoring by abdominal bioimpedance analysis: Data interpretation by hierarchical electrical modelling.'. Together they form a unique fingerprint.

Cite this