Herencsar Norbert, Kartci Aslihan, Cicekoglu Oguzhan
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:2307-2310. doi: 10.1109/EMBC44109.2020.9175916.
Electrical impedance spectroscopy (EIS) is a fast, non-invasive, and safe technique for bioimpedance measurement. In dental research, EIS has been used to detect tooth cracks and caries with higher accuracy than visual and radiographic methods. Recently, a study has been reported on effect of age on impedance measurements for two age groups by employing EIS. The aim of that study was to demonstrate the usefulness of fractional calculus in equivalent circuit modeling. In proposed double dispersion Cole impedance (C-C) models, both resistance and pseudo-capacitance values were found to be significantly different for both age groups. However, in our study, the first time it was found out that proposed models' total pseudo-capacitance values of both young and old dentines can be reduced by 34% and 7.5%, respectively, if recurrent electrical impedance model for n = 2 bifurcations to be used. Secondly, new empirical fractional-order electrical models of human tooth using the optimized Valsa network with EIA standard compliant RC values are reported that provide better understanding of the structure of dentine from resistance and capacitance point of view.
电阻抗光谱法(EIS)是一种用于生物阻抗测量的快速、非侵入性且安全的技术。在牙科研究中,EIS已被用于检测牙齿裂纹和龋齿,其准确性高于视觉和放射成像方法。最近,有一项研究报告了采用EIS对两个年龄组进行阻抗测量时年龄的影响。该研究的目的是证明分数阶微积分在等效电路建模中的实用性。在所提出的双色散科尔阻抗(C-C)模型中,两个年龄组的电阻和伪电容值均存在显著差异。然而,在我们的研究中,首次发现如果使用n = 2分叉的递归电阻抗模型,所提出模型中年轻和老年牙本质的总伪电容值可分别降低34%和7.5%。其次,报告了使用具有符合EIA标准的RC值的优化瓦尔萨网络的新型人类牙齿经验分数阶电学模型,该模型从电阻和电容的角度能更好地理解牙本质的结构。