ECG Distortion Measures and their Effectiveness
ECG Distortion Measures and their Effectiveness
复制标题
心电图失真措施及其有效性
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
S. Dandapat
中科院分区：
文献类型：
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作者：
M. Manikandan;S. Dandapat
质量测量对于心电图（ECG）信号处理应用是至关重要的。许多失真测量用于ECG信号质量评估。一个简单而广泛使用的失真度量是百分比均方根差（PRD）。它是一个有吸引力的措施，由于其简单性和数学上的方便。但是PRD不是真实压缩误差的良好测量，并且导致诊断相关性差。在本文中，我们讨论了使用不同的压缩信号的客观失真措施的优点和缺点。与广泛的分析，它表明，虽然一些失真的措施相关以及与主观评价失真所造成的一个给定的压缩方法，他们可能不可靠的一些其他压缩失真的评价。它还得出结论，失真措施应该是主观有意义的，以相关的一个或大或小的定量失真措施与坏和好的质量。这项工作试图评估的客观质量措施与主观措施和调查的接近程度可能有助于建议一个更好的质量标准，优化率失真算法。实验结果表明，基于小波能量的诊断失真（WEDD）的措施是显着优于其他措施。该方法对ECG特征变化敏感，对低水平背景噪声的平滑不敏感。
Measurement of quality is of fundamental importance to electrocardiogram (ECG) signal processing applications. A number of distortion measures are used for ECG signal quality assessment. A simple and widely used distortion measure is the percentage root mean square difference (PRD). It is an attractive measure due to its simplicity and mathematical convenience. But PRD is not a good measure of the true compression error and results in poor diagnostic relevance. In this paper, we discuss the advantages and drawbacks of the objective distortion measures using different compressed signals. With extensive analysis it is shown that although some distortion measures correlate well with the subjective evaluation for distortions resulting from a given compression method, they may not be reliable for evaluation of some other compression distortions. It is also concluded that a distortion measure should be subjectively meaningful in order to correlate a large or small quantitative distortion measure with bad and good quality. This work attempts to evaluate the closeness of the objective quality measures with subjective measure and investigation may help to suggest a better quality criterion for optimizing rate-distortion algorithms. Experimental results show that wavelet energy based diagnostic distortion (WEDD) measure is significantly better than other measures. This measure is sensitive to ECG feature changes and insensitive to smoothing of low-level background noise.