Fu Zhang1, Zhaosheng Teng2, Yuxiang Yang1, Haowen Zhong2,3, Jianmin Li1, Seward B Rutkove3, Benjamin Sanchez4. 1. College of Engineering and Design, Hunan Normal University, Changsha, 410081, China. 2. Department of Electronic Science and Technology, Hunan University, Changsha, 410082, China. 3. Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, 02115 USA. 4. Department of Electrical and Computer Engineering, Sorenson Molecular Biotechnology Building, Office 3721, 36 South Wasatch Drive, University of Utah, Salt Lake City, UT 84112, USA.
Abstract
OBJECTIVE: The Cole model is a widely used fractional circuit model in electrical bioimpedance applications for evaluating the content and status of biological tissues and fluids. Existing methods for estimating the Cole impedance parameters are often based on multi-frequency data obtained from stepped-sine measurements fitted using a complex non-linear least square (CNLS) algorithm. Newly emerged numerical methods from the magnitude of electrical bio-impedance data-only do not need CNLS fitting, but they still require multi-frequency stepped-sine data. This study proposes a novel approach to estimating the Cole impedance parameters that combines a numerical and time-domain fitting method based on a single-frequency DC-biased sinusoidal current excitation. APPROACH: First, the transient and steady-state voltage response along with the current excitation are acquired in electrical bio-impedance measurement. From the sampled data, a numerical method is applied to provide the initial estimation of the Cole impedance parameters, which are then used in a time-domain iterative fitting algorithm. RESULTS: The accuracy of the algorithm proposed is tested with noisy electrical bio-impedance simulations. The maximum relative error of the estimated Cole impedance parameters is 1% considering 2% (34 dB) additive Gaussian noise. Experimental measurements performed on a 2R-1C circuit and some fruit samples show a mean difference less than 1% and 5% respectively compared to the Cole impedance parameters estimated from a commercial electrical bio-impedance analyzer performing stepped-sine measurements and CNLS fitting. SIGNIFICANCE: This is the first method that allows estimating the Cole impedance parameters from single-frequency electrical bio-impedance data. The approach presented could find broad use in many applications, including single-frequency body impedance analysis.
OBJECTIVE: The Cole model is a widely used fractional circuit model in electrical bioimpedance applications for evaluating the content and status of biological tissues and fluids. Existing methods for estimating the Cole impedance parameters are often based on multi-frequency data obtained from stepped-sine measurements fitted using a complex non-linear least square (CNLS) algorithm. Newly emerged numerical methods from the magnitude of electrical bio-impedance data-only do not need CNLS fitting, but they still require multi-frequency stepped-sine data. This study proposes a novel approach to estimating the Cole impedance parameters that combines a numerical and time-domain fitting method based on a single-frequency DC-biased sinusoidal current excitation. APPROACH: First, the transient and steady-state voltage response along with the current excitation are acquired in electrical bio-impedance measurement. From the sampled data, a numerical method is applied to provide the initial estimation of the Cole impedance parameters, which are then used in a time-domain iterative fitting algorithm. RESULTS: The accuracy of the algorithm proposed is tested with noisy electrical bio-impedance simulations. The maximum relative error of the estimated Cole impedance parameters is 1% considering 2% (34 dB) additive Gaussian noise. Experimental measurements performed on a 2R-1C circuit and some fruit samples show a mean difference less than 1% and 5% respectively compared to the Cole impedance parameters estimated from a commercial electrical bio-impedance analyzer performing stepped-sine measurements and CNLS fitting. SIGNIFICANCE: This is the first method that allows estimating the Cole impedance parameters from single-frequency electrical bio-impedance data. The approach presented could find broad use in many applications, including single-frequency body impedance analysis.
Authors: Ursula G Kyle; Ingvar Bosaeus; Antonio D De Lorenzo; Paul Deurenberg; Marinos Elia; José Manuel Gómez; Berit Lilienthal Heitmann; Luisa Kent-Smith; Jean-Claude Melchior; Matthias Pirlich; Hermann Scharfetter; Annemie M W J Schols; Claude Pichard Journal: Clin Nutr Date: 2004-10 Impact factor: 7.324