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Quality assessment of ECG compression techniques using a wavelet-based diagnostic measure

机译:使用基于小波的诊断方法对心电图压缩技术进行质量评估

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Electrocardiograph (ECG) compression techniques are gaining momentum due to the huge database requirements and wide band communication channels needed to maintain high quality ECG transmission. Advances in computer software and hardware enable the birth of new techniques in ECG compression, aiming at high compression rates. In general, most of the introduced ECG compression techniques depend on their evaluation performance on either inaccurate measures or measures targeting random behavior of error. In this paper, a new wavelet-based quality measure is proposed. A new wavelet-based quality measure is proposed. The new approach is based on decomposing the segment of interest into frequency bands where a weighted score is given to the band depending on its dynamic range and its diagnostic significance. A performance evaluation of the measure is conducted quantitatively and qualitatively. Comparative results with existing quality measures show that the new measure is insensitive to error variation, is accurate, and correlates very well with subjective tests.
机译:由于巨大的数据库需求和维持高质量ECG传输所需的宽带通信通道,心电图仪(ECG)压缩技术获得了发展。计算机软件和硬件的进步使ECG压缩的新技术应运而生,旨在实现高压缩率。通常,大多数已引入的ECG压缩技术取决于其评估性能,该评估性能基于不准确的度量或针对随机错误行为的度量。本文提出了一种新的基于小波的质量度量方法。提出了一种新的基于小波的质量度量。新方法是基于将感兴趣的片段分解为频带,其中根据其动态范围及其诊断意义对频带进行加权评分。该措施的绩效评估是定量和定性的。与现有质量度量的比较结果表明,新度量对误差变化不敏感,准确,并且与主观测试非常相关。

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