Abstract

The key areas of application of systems with microelectrode arrays (MEA) are studying the mechanisms of diseases and testing the effect of drugs on the human body using “laboratory-on-a-chip” technologies based on researches of artificially grown cells. Many scientists’ efforts are directed to the processing and analysis of information received by MEA systems, helping the doctors in creating effective treatment strategies. However, field potentials (FP) of cardiac cells recorded with MEA systems in non-invasive measurements provide incomplete information for the estimation of ionic currents, compared to invasive measurements of action potentials (AP) obtained using patch-clamp technology. The research is devoted to the mathematical determination of the relationship between the signals of electrical activity of cardiomyocytes: internal AP and external FP. In this paper it is proposed a method for solving the inverse problem of the relationship between AP and FP. The equation for the transfer functions between AP and FP is obtained on the basis of field theory. The paper presents the results of AP reconstruction modeling using measured FPs, demonstrating the change in the morphology and parameters of these signals under the influence of dimethylsulfoxide (DMSO). FP signals are recorded using non-destructive electrophysiological technology based on microelectrode coaxial guides (μECG), which can be considered as a type of MEA.

中文翻译：

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从细胞外场电位重建心肌细胞的动作电位

摘要

具有微电极阵列 (MEA) 的系统的关键应用领域是研究疾病的机制，并使用基于人工生长细胞研究的“芯片实验室”技术测试药物对人体的影响。许多科学家致力于处理和分析 MEA 系统接收到的信息，帮助医生制定有效的治疗策略。然而，与使用膜片钳技术获得的动作电位 (AP) 的侵入性测量相比，在非侵入性测量中使用 MEA 系统记录的心脏细胞的场电位 (FP) 为离子电流的估计提供了不完整的信息。该研究致力于数学确定心肌细胞电活动信号之间的关系：内部 AP 和外部 FP。本文提出了一种求解AP与FP关系反问题的方法。AP和FP之间传递函数的方程是在场论的基础上得到的。本文介绍了使用测量的 FP 进行 AP 重建建模的结果，证明了这些信号在二甲基亚砜 (DMSO) 的影响下的形态和参数的变化。FP 信号是使用基于微电极同轴导轨 (μECG) 的非破坏性电生理技术记录的，可以将其视为一种 MEA。本文介绍了使用测量的 FP 进行 AP 重建建模的结果，证明了这些信号在二甲基亚砜 (DMSO) 的影响下的形态和参数的变化。FP 信号是使用基于微电极同轴导轨 (μECG) 的非破坏性电生理技术记录的，可以将其视为一种 MEA。本文介绍了使用测量的 FP 进行 AP 重建建模的结果，证明了这些信号在二甲基亚砜 (DMSO) 的影响下的形态和参数的变化。FP 信号是使用基于微电极同轴导轨 (μECG) 的非破坏性电生理技术记录的，可以将其视为一种 MEA。