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基于最小绝对值偏差法的改进 Cole 参数提取。

Improved Cole parameter extraction based on the least absolute deviation method.

机构信息

Department of Precision Instrumentation Engineering, Xi'an University of Technology, Xi'an, People's Republic of China.

出版信息

Physiol Meas. 2013 Oct;34(10):1239-52. doi: 10.1088/0967-3334/34/10/1239. Epub 2013 Sep 11.

Abstract

The Cole function is widely used in bioimpedance spectroscopy (BIS) applications. Fitting the measured BIS data onto the model and then extracting the Cole parameters (R0, R∞, α and τ) is a common practice. Accurate extraction of the Cole parameters from the measured BIS data has great significance for evaluating the physiological or pathological status of biological tissue. The traditional least-squares (LS)-based curve fitting method for Cole parameter extraction is often sensitive to noise or outliers and becomes non-robust. This paper proposes an improved Cole parameter extraction based on the least absolute deviation (LAD) method. Comprehensive simulation experiments are carried out and the performances of the LAD method are compared with those of the LS method under the conditions of outliers, random noises and both disturbances. The proposed LAD method exhibits much better robustness under all circumstances, which demonstrates that the LAD method is deserving as an improved alternative to the LS method for Cole parameter extraction for its robustness to outliers and noises.

摘要

Cole 函数在生物阻抗谱(BIS)应用中被广泛使用。将测量的 BIS 数据拟合到模型中,然后提取 Cole 参数(R0、R∞、α 和 τ)是一种常见的做法。从测量的 BIS 数据中准确提取 Cole 参数对于评估生物组织的生理或病理状态具有重要意义。传统的基于最小二乘(LS)的 Cole 参数提取曲线拟合方法通常对噪声或异常值敏感,并且变得不稳健。本文提出了一种基于最小绝对偏差(LAD)方法的改进 Cole 参数提取方法。进行了全面的仿真实验,并在存在异常值、随机噪声和两者干扰的情况下,将 LAD 方法与 LS 方法的性能进行了比较。在所有情况下,所提出的 LAD 方法都表现出更好的稳健性,这表明 LAD 方法是一种改进的 LS 方法的替代方法,因为它对异常值和噪声具有鲁棒性,可用于 Cole 参数提取。

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