有成分的心室梯度矢量图和心肌动作电位参数分布

IF 0.8 4区 工程技术 Q4 INSTRUMENTS & INSTRUMENTATION
E. Aidu, V. Trunov
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引用次数: 2

摘要

摘要研究了心室去极化和复极化积分向量及其和的理论依据,即空间心室梯度。基于心肌非均匀双域模型中心肌细胞动作电位参数的分布,对这些参数进行了系统的描述和生物物理解释。近年来的医学研究表明,心室梯度及其成分和相关参数,如各成分之间的夹角、复极加速等具有很高的效率和预测价值。心肌试纸的简单例子阐明了动作电位参数和由此产生的心室梯度之间的关系。对复极化加速度的图解给出了解释。这里得到的结果对心室的各种病理状况和决定其形状的心肌细胞动作电位的各种特征的矢量图建模是有用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vectorcardiographic Ventricular Gradient with Constituents, and Myocardial Action Potential Parameter Distribution
Abstract Theoretical grounds of integral vectors of ventricular depolarization and repolarization and their sum, i.e., the spatial ventricular gradient, have been studied. A systematic description and biophysical interpretation of these parameters are presented based on the distribution of cardiomyocyte action potential parameters in the inhomogeneous bidomain model of the myocardium. Recent medical studies have shown high efficiency and predictive value of the ventricular gradient, its constituents and related parameters, such as the angle between the con-stituents, the acceleration of repolarization, etc. Simple examples for a myocardial strip clarify the relationship between the action potential parameters and the resulting ventricular gradient. An explanation with graphic illustration is given for the very informative decartogram of repolarization acceleration. The results obtained here are useful in the modeling of vectorcardiograms for various pathological conditions of the heart ventricles and for various characteristics of the cardiomyocyte action potential, which determine its shape.
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来源期刊
Measurement Science Review
Measurement Science Review INSTRUMENTS & INSTRUMENTATION-
CiteScore
2.00
自引率
11.10%
发文量
37
审稿时长
4.8 months
期刊介绍: - theory of measurement - mathematical processing of measured data - measurement uncertainty minimisation - statistical methods in data evaluation and modelling - measurement as an interdisciplinary activity - measurement science in education - medical imaging methods, image processing - biosignal measurement, processing and analysis - model based biomeasurements - neural networks in biomeasurement - telemeasurement in biomedicine - measurement in nanomedicine - measurement of basic physical quantities - magnetic and electric fields measurements - measurement of geometrical and mechanical quantities - optical measuring methods - electromagnetic compatibility - measurement in material science
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