使用频谱分析和 MATLAB 软件的心力衰竭预后算法。

Segundo Fabián Siza Moposita, Miguel Ángel Sáez Paguay, Yesenia Maricela Fiallos Godoy, Ricardo Fabián Siza Gualpa
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引用次数: 0

摘要

生物信号的傅立叶分析是基于正弦和余弦的无限和,它可以模拟:心脏的周期性运转、振幅、频率和相位周期,根据模拟心脏理想运转的研究和程序,将这些信号转换成称为心电图的图像。在这项工作中,我们设计了一种数学算法来预测被称为心动过缓的心脏病变,这种病变与 10 年内每月 QT 间期的延长(10-4 秒/月)和心室变化有关。利用 MATLAB 软件和频谱分析,将无病变的频谱(其中包含振幅较大的谐波)与已出现病变、达到心力衰竭的频谱(其中最重要的谐波数都集中在第一组值中)进行对比,然后利用指数函数模型对心电图中的 QT 间期延迟进行分析,得出结论认为,在病变发生后的 40 个月内,患者可以对抗疾病。相比之下,到了80个月,困难就会出现,甚至疾病在最后几个月变得不可逆转,血液推进器官停止运作:心衰预后 心动过缓 傅立叶序列 频谱分析
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Heart failure prognostic algorithm using Spectral Analysis and MATLAB software.
Fourier analysis for biological signals is based on the use of the infinite sum of sines and cosines that allows modeling: the periodic functioning of the heart, its amplitude, frequency, and phase period, transforming these signals into images called ECG, based on studies and programs that model the ideal functioning of the heart. In this work, a mathematical algorithm has been designed to predict the cardiac pathology called bradycardia, which relates the prolongation of the monthly QT interval in the order of 10-4 seconds/month in a time of 10 years with the ventricular alteration. MATLAB software and spectral analysis are used to contrast the spectrum without pathology, which contains harmonics of greater amplitude, with a spectrum already with pathology that reaches heart failure, where the most significant number of harmonics are grouped in the first values, and then the model with an exponential function the delay of the QT interval in the ECG, concluding that up to 40 months after the onset of the pathology, the patient can counteract the disease. In comparison, by 80 months, difficulties arise, even the disease becomes irreversible in the last months, and the blood-propelling organ ceases to function. Keywords: Heart Failure Prognostic, Bradycardia, Fourier Series, Spectral Analysis.
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