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A hybrid ECG compression technique based on DWT and removal of interbeats and intrabeats correlations

机译:基于DWT的混合ECG压缩技术以及心跳和心跳内相关性的消除

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A hybrid ECG compression technique based on DWT and reducing the correlation between signal samples and beats has been presented in this paper. It starts by segmenting the ECG signal into blocks; each has 1024 samples. Then, DPCM approach is adopted by removing the redundancy between successive samples. So, residual signal of QRS-complex like waveform without the presence of P-, T- and U-waves is generated. Then the first QRS-complex like wave is isolated and all the succeeding ones are subtracted from the preceding ones. The next process depends of on application. For telediagnoses, the resulting residual signal is wavelet transformed while for telemonitoring both the first QRS-complex like wave and the residual signal are wavelet transformed. In both cases the resulting wavelet coefficients are thresholded based of on energy packing efficiency and coded using modified run-length algorithm. The performance of the proposed algorithm has been tested on records extracted from MIT-BIH arrhythmia database. Simulation results illustrate excellent quality of reconstructed signals with %PRD less than 1.5% and CR greater than 20.
机译:本文提出了一种基于DWT的混合ECG压缩技术,可以减少信号样本和心跳之间的相关性。首先将ECG信号分成多个块;每个都有1024个样本。然后,通过去除连续样本之间的冗余,采用DPCM方法。因此,生成了QRS复数类似波形的残留信号,而没有P波,T波和U波。然后,将第一个QRS复杂波分离出来,并从前面的波中减去所有后续波。下一个过程取决于应用程序。对于远程诊断,将产生的残留信号进行小波变换,而对于远程监控的第一个QRS复杂波(如波)和残留信号进行小波变换。在这两种情况下,都基于能量打包效率对所得的小波系数进行阈值处理,并使用改进的游程算法进行编码。在从MIT-BIH心律失常数据库中提取的记录上测试了该算法的性能。仿真结果表明,%PRD小于1.5%,CR大于20的重构信号具有出色的质量。

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