A Simplified Time-Domain Fitting Method Based on Fractional Operational Matrix for Cole Parameter Estimation
A Simplified Time-Domain Fitting Method Based on Fractional Operational Matrix for Cole Parameter Estimation
复制标题
基于分数阶运算矩阵的科尔参数估计的简化时域拟合方法
DOI:
10.1109/tim.2019.2912592
复制
发表时间:
2020-04
影响因子:
5.6
通讯作者:
Li Jianmin
中科院分区:
文献类型:
--
作者:
Zhang Fu;Teng Zhaosheng;Rutkove Seward;Yang Yuxiang;Li Jianmin
The Cole model is widely used in bioimpedance spectroscopy (BIS) applications for evaluating the contents and status of biological tissues. Traditional frequency-domain fitting methods for Cole parameter estimation (CPE) often need wideband direct or indirect BIS measurements. The newly emerged time-domain fitting methods do not require BIS measurement, but they usually have unsatisfactory estimation accuracy and heavily rely on some specific excitations. This paper proposes a novel time-domain fitting method based on the fractional operational matrix (FOM) for CPE. First, the Cole model is represented as a FOM-based algebraic equation. Then, the model-based voltage response can be calculated as the product of the sampled current excitation and the FOM-based Cole equation. Finally, the Cole parameter can be estimated by minimizing the sum of squares error between the sampled voltage response and the model-based voltage response using an iterative nonlinear least-squares fitting algorithm. Experimental measurements are verified on three 2R1C circuits and in vivo leg muscle of a healthy volunteer. The results show that the Cole parameter can be accurately estimated by the proposed FOM-based fitting method directly using the sampled current and voltage signals. This paper establishes an effective time-domain fitting method for CPE, which could greatly simplify the hardware and software designs without the need for the BIS measurement.
登录
查看更多内容
影响因子:
3
作者:
Bingtuo Guo;Jian Li;H. Zmuda
通讯作者:
Bingtuo Guo;Jian Li;H. Zmuda
影响因子:
5.7
作者:
D. Caratelli;L. Mescia;P. Bia;O. Stukach
通讯作者:
D. Caratelli;L. Mescia;P. Bia;O. Stukach
影响因子:
3.2
作者:
S. Armstrong;D. Jennings
通讯作者:
S. Armstrong;D. Jennings
影响因子:
3.2
作者:
RIGAUD, B;HAMZAOUI, L;MORUCCI, JP
通讯作者:
MORUCCI, JP
DOI:
10.1201/b22451
发表时间:
2018-07
期刊:
--
影响因子:
--
作者:
Jian V. Li;G. Ferrari
通讯作者:
Jian V. Li;G. Ferrari