Application of nature inspired optimization algorithms in bioimpedance spectroscopy: simulation and experiment

IF 1.1 Q4 BIOPHYSICS AIMS Biophysics Pub Date : 2023-01-01 DOI:10.3934/biophy.2023010
A. Mallick, Atanu Mondal, Somnath Bhattacharjee, Arijit Roy
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引用次数: 1

Abstract

Accurate extraction of Cole parameters for applications in bioimpedance spectroscopy (BIS) is challenging. Precise estimation of Cole parameters from measured bioimpedance data is crucial, since the physiological state of any biological tissue or body is described in terms of Cole parameters. To extract Cole parameters from measured bioimpedance data, the conventional gradient-based non-linear least square (NLS) optimization algorithm is found to be significantly inaccurate. In this work, we have presented a robust methodology to establish an accurate process to estimate Cole parameters and relaxation time from measured BIS data. Six nature inspired algorithms, along with NLS are implemented and studied. Experiments are conducted to obtain BIS data and analysis of variation (ANOVA) is performed. The Cuckoo Search (CS) algorithm achieved a better fitment result and is also able to extract the Cole parameters most accurately among all the algorithms under consideration. The ANOVA result shows that CS algorithm achieved a higher confidence rate. In addition, the CS algorithm requires less sample size compared to other algorithms for distinguishing the change in physical properties of a biological body.
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自然启发优化算法在生物阻抗谱中的应用:模拟与实验
生物阻抗谱(BIS)中Cole参数的准确提取具有挑战性。从测量的生物阻抗数据精确估计Cole参数是至关重要的,因为任何生物组织或身体的生理状态都是用Cole参数来描述的。为了从测量的生物阻抗数据中提取Cole参数,传统的基于梯度的非线性最小二乘(NLS)优化算法存在显著的不准确性。在这项工作中,我们提出了一个强大的方法来建立一个准确的过程来估计Cole参数和松弛时间从测量的BIS数据。六种自然启发算法,以及NLS实现和研究。进行实验以获得BIS数据,并进行变异分析(ANOVA)。布谷鸟搜索(Cuckoo Search, CS)算法的拟合效果较好,也是所考虑的算法中提取Cole参数最准确的算法。方差分析结果表明,CS算法取得了较高的置信率。此外,与其他算法相比,CS算法需要更少的样本量来区分生物体物理性质的变化。
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来源期刊
AIMS Biophysics
AIMS Biophysics BIOPHYSICS-
CiteScore
2.40
自引率
20.00%
发文量
16
审稿时长
8 weeks
期刊介绍: AIMS Biophysics is an international Open Access journal devoted to publishing peer-reviewed, high quality, original papers in the field of biophysics. We publish the following article types: original research articles, reviews, editorials, letters, and conference reports. AIMS Biophysics welcomes, but not limited to, the papers from the following topics: · Structural biology · Biophysical technology · Bioenergetics · Membrane biophysics · Cellular Biophysics · Electrophysiology · Neuro-Biophysics · Biomechanics · Systems biology
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