一种计算有效的方法来量化健康和患病人类受试者心室复极不规则性的生物特征

J. Palhalmi
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引用次数: 0

摘要

QT间期延长和QT间期时间序列时间动力学异常所表现的复极异质性是冠心病和致死性心律失常的重要因素。根据我们的观察,计算从QT间期时间序列中提取的特征的均值和方差之间的窗口相关性可以揭示自然和疾病特定的波动模式。我们的算法可能是一种敏感的生物测量方法,可以量化个性化差异和复极化异质性的特性,也是表征疾病特异性QT间期时间动态的潜在生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Computationally Efficient Method to Quantify the Biometric Properties of Ventricular Repolarization Irregularities in Healthy and Diseased Human Subjects
Repolarization heterogeneity expressed by QT interval prolongation and abnormal temporal dynamics of the QT interval time series is an important factor in relation to coronary heart disease and lethal arrhythmias. Based on our observations, the calculation of window correlation between the mean and variance of features extracted from QT interval time series can reveal natural and disease specific fluctuation patterns. Our algorithm is potentially a sensitive biometric measure to quantify personalized differences and the properties of repolarization heterogeneity, and also a potential biomarker to characterize disease specific QT interval temporal dynamics.
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