动态心电图记录心率变异性的频谱分析

G. Georgieva-Tsaneva, Mitko Valchev Gospodinov, Evgeniya Peneva Gospodinova
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引用次数: 1

摘要

心率变异性是一个动态的、非平稳的变量,本文讨论了分析心率变异性的频谱方法。今天,用数学方法分析心率是一项当前的任务,因为心血管系统疾病以及由此导致的人类残疾和死亡在世界范围内非常普遍。在我们的现代时代,技术需要帮助医学,帮助改善个人的健康,并采取适当的预防措施,以保护人民的健康。心电图和长期监测动态心电图是一种完善的、无创的心血管活动检测医学方法。心率变异性的频谱分析可以评估心脏的工作,并估计其在未来几天的状况。变异性的频谱分析在三个频率范围内进行,可以用不同的数学方法进行。本文采用Welch周期图方法对健康个体和心律失常患者的记录进行分析。研究人员对已证实患有心脏病、由心脏病专家诊断的患者和没有心血管问题的人进行了真实的动态心电图连续心脏记录分析。本文给出的数值和图形结果是利用作者编写的MATLAB软件程序得到的。对比分析显示心律失常患者与健康人之间所研究的频率参数存在差异。所进行的研究和获得的结果可用于心脏病专家的临床实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spectral Analysis of Heart Rate Variability of Holter Records
The paper discusses spectral methods for analyzing heart rate variability, which is a dynamic, non-stationary variable. Today the analysis of heart rate with mathematical methods is a current task as diseases of the cardiovascular system, and disability and mortality in humans as a result of them are very common worldwide. In our modern age, technologies need to be of assistance to medicine and to help both improve the health of individuals and take appropriate preventive measures to protect the health of people. Electrocardiography and long-term monitoring of Holter are well-established, non-invasive medical methods for cardiovascular activity testing. Spectral analysis of the heart rate variability makes it possible to evaluate the work of the heart and to give an estimate of its condition in the coming days. Spectral analysis of variability is performed in three frequency ranges and can be done with different mathematical methods. This paper uses a Welch periodogram method to analyze records of healthy individuals and patients with arrhythmias. The analysis was performed on real Holter continuous cardiac records on patients with proven cardiac disease, diagnosed by a cardiologist, and on people without cardiovascular problems. The presented numerical and graphical results are obtained using the MATLAB software program, created by the authors. The comparative analyses show differences in the studied frequency parameters between patients with arrhythmia and healthy individuals. The conducted research and the obtained results can be useful in the clinical practice of cardiologists.
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