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A diagnostic meaningful distortion measure for ECG compression

机译:诊断有意义的失真测量,可用于ECG压缩

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A new distortion measure for ECG signal compression is introduced. This diagnostic distortion measure, called the Weighted Diagnostic Distortion (WDD), is based on comparing the PQRST complex features (such as: P wave duration, P wave amplitude, P wave shape, QT duration, ST elevation, etc.) between two signals (original ECG signal and reconstructed ECG signal). Also in this article, a new compression algorithm is introduced, based on analysis by synthesis coding. In our compression system the encoder consists of a long term and a short term predictors and a quantizer with an adaptive number and values of levels, which are depended on the definition of maximum permitted distortion for each segment in the signal. The algorithm exhibits better results than other known compression algorithms.
机译:介绍了一种用于ECG信号压缩的新失真测量方法。此诊断失真度量称为加权诊断失真(WDD),其基于比较两个信号之间的PQRST复杂特征(例如:P波持续时间,P波幅度,P波形,QT持续时间,ST高程等)。 (原始ECG信号和重建的ECG信号)。同样在本文中,基于合成编码的分析,介绍了一种新的压缩算法。在我们的压缩系统中,编码器由长期和短期预测变量以及具有自适应数量和级别值的量化器组成,这些数量和值取决于信号中每个段的最大允许失真的定义。该算法显示出比其他已知压缩算法更好的结果。

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