Comprehensive analysis of cardiac health using heart rate signals
Comprehensive analysis of cardiac health using heart rate signals
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DOI：
10.1088/0967-3334/25/5/005
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发表时间：
2004-10-01
影响因子：
3.2
通讯作者：
Krishnan, SM
中科院分区：
文献类型：
--
作者：
Acharya, R;Kannathal, N;Krishnan, SM
心电图是包含关于心脏状况的信息的代表性信号。P-QRS-T波的形状和大小，其各个峰之间的时间间隔等可能包含有关影响心脏的疾病性质的有用信息。然而，人类观察者无法直接监测这些细微的细节。此外，由于生物信号是高度主观的，症状可能在时间尺度上随机出现。因此，使用计算机提取和分析的心率变异性信号参数在诊断中非常有用。心率变异性（HRV）分析已成为一种流行的非侵入性工具，用于评估自主神经系统的活动。HRV分析基于快速波动可以具体反映交感神经和迷走神经活动的变化的概念。它表明，产生信号的结构不是简单的线性，但也涉及非线性的贡献。这些信号基本上是不稳定的;可能包含当前疾病的指标，甚至是即将发生的疾病的警告。指示符可以一直存在，或者可以在时间尺度中随机出现。然而，要研究和查明在几个小时内收集的大量数据中的异常是费力和耗时的。本文分析了八种心脏异常，并给出了线性和非线性参数的计算范围，置信度大于90%。
The electrocardiogram is a representative signal containing information about the condition of the heart. The shape and size of the P-QRS-T wave, the time intervals between its various peaks, etc may contain useful information about the nature of disease affecting the heart. However, the human observer cannot directly monitor these subtle details. Besides, since bio-signals are highly subjective, the symptoms may appear at random in the time scale. Therefore, the heart rate variability signal parameters, extracted and analyzed using computers, are highly useful in diagnostics. Analysis of heart rate variability (HRV) has become a popular noninvasive tool for assessing the activities of the autonomic nervous system. The HRV analysis is based on the concept that fast fluctuations may specifically reflect changes of sympathetic and vagal activity. It shows that the structure generating the signal is not simply linear, but also involves nonlinear contributions. These signals are essentially nonstationary; may contain indicators of current disease, or even warnings about impending diseases. The indicators may be present at all times or may occur at random in the time scale. However, to study and pinpoint abnormalities in voluminous data collected over several hours is strenuous and time consuming. This paper deals with the analysis of eight types of cardiac abnormalities and presents the ranges of linear and nonlinear parameters calculated for them with a confidence level of more than 90%.