Novel approach of processing electrical bioimpedance data using differential impedance analysis

Benjamin Sanchez, Aliaksandr S. Bandarenka, Gerd Vandersteen, Johan Schoukens, Ramon Bragos

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

The goal of this manuscript is to present a new methodology for real time analysis of time-varying electrical bioimpedance data. The approach assumes that the Fricke-Morse model of living tissues is meaningful and valid within the measured frequency range (10. kHz to 1. MHz). The parameters of this model are estimated in the whole frequency range with the presented method based on differential impedance analysis (DIA). The numerical accuracy of the developed approach has been validated and compared to complex nonlinear least square (CNLS) approach through simulations and also with experimental data from in vivo time-varying human lung tissue bioimpedance. The new developed method has demonstrated a promising performance for fast and easily interpretable information in real time.

Original languageEnglish
Pages (from-to)1349-1357
Number of pages9
JournalMedical Engineering and Physics
Volume35
Issue number9
DOIs
StatePublished - Sep 2013
Externally publishedYes

Keywords

  • Complex nonlinear least square (CNLS)
  • Differential impedance analysis (DIA)
  • Electrical bioimpedance (EBI)
  • Electrical impedance spectroscopy (EIS)
  • Fricke-Morse model

Fingerprint

Dive into the research topics of 'Novel approach of processing electrical bioimpedance data using differential impedance analysis'. Together they form a unique fingerprint.

Cite this