Selection of measurement frequencies for optimal extraction of tissue impedance model parameters
| Autor: | S. Kun, Robert A. Peura |
|---|---|
| Rok vydání: | 1999 |
| Předmět: |
Physics
Signal processing Logarithm Estimation theory business.industry Acoustics Bandwidth (signal processing) Biomedical Engineering Signal Processing Computer-Assisted Models Biological Computer Science Applications Ischemia Electric Impedance Animals Nyquist–Shannon sampling theorem Equidistant Rabbits Muscle Skeletal Telecommunications business Electrical impedance Algorithms Parametric statistics |
| Zdroj: | Medical & Biological Engineering & Computing. 37:699-703 |
| ISSN: | 1741-0444 0140-0118 |
| Popis: | The results are presented of a study performed to determine the measurement frequencies that provide optimal extraction of tissue impedance model parameters from in vivo measured electrical impedance spectra. Measurement frequency sets that are logarithmic and quasi-linear, and frequency sets that produce angularly equidistant points on the Nyquist loci are used to test the parametric fitting algorithm that calculates R0, R infinity, alpha and tau tissue parameters from complex impedance spectra. Simulated data, calculated in the presence ofor = 5% measurement noise, and in vivo experiments indicate that the quality of the fitted parameters depends upon the selection of measurement frequencies. The results show that, if measurements are performed with a system that has a realistic measurement bandwidth, then, for the best estimation of: R0, the measurement frequencies should include the decade from 100 Hz-1 kHz; R infinity, the algorithm should not include frequencies under 1 kHz; alpha and tau, the measurement frequencies should be equidistantly spaced on the Nyquist locus. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink