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首页> 外文期刊>International journal of systems,control and communications >Time-frequency analysis of a noised ECG signals using empirical mode decomposition and Choi-Williams techniques
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Time-frequency analysis of a noised ECG signals using empirical mode decomposition and Choi-Williams techniques

机译：使用经验模态分解和Choi-Williams技术对噪声ECG信号进行时频分析

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摘要

The electrocardiogram (ECG) is an important measurement to evaluate the safety of the cardiovascular system. The ECG analysis is usually faced with two major problems, the presence of the noise and the non-stationary multicomponent nature of the electrocardiogram (ECG) signal. These problems can influence in the analysis of such biomedical signal. This paper proposes a combination of two methods, the empirical mode decomposition (EMD) and the Choi-Williams time-frequency techniques, for analysing a noised ECG signal to diagnose cardiac arrhythmia. The work is divided into two steps; the first one consists in applying the EMD method to a noised abnormal ECG signal to filter the noise. The second one presents the analysis of the resulting signal by using the Choi-Williams time-frequency technique to extract different components, especially the QRS complexes, in order to detect the anomaly present in the signal. The obtained results illustrate the effectiveness of the combination of the EMD method and the Choi-Williams time-frequency technique in analysing the noised electrocardiogram signal.
机译：心电图（ECG）是评估心血管系统安全性的重要指标。心电图分析通常面临两个主要问题，即噪声的存在和心电图（ECG）信号的非平稳多分量性质。这些问题会影响这种生物医学信号的分析。本文提出了经验模态分解（EMD）和Choi-Williams时频技术这两种方法的组合，用于分析噪声ECG信号以诊断心律不齐。工作分为两个步骤：第一个方法是将EMD方法应用于有噪声的异常ECG信号以滤除噪声。第二种方法是通过使用Choi-Williams时频技术提取不同的成分（尤其是QRS络合物）来分析所得信号，以检测信号中存在的异常。所得结果说明了EMD方法和Choi-Williams时频技术相结合在分析心电图噪声信号方面的有效性。

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