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A 2-D ECG Compression Algorithm Based on Modified SPIHT

机译:一种基于修改SPIHT的2-D ECG压缩算法

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A new two-dimensional (2-D) Electrocardiogram (ECG) signal compression algorithm named 2D Modified Set Partitioning In Hierarchical Trees (2-D MSPIHT), which is based on the SPIHT algorithm, has been proposed in this paper. According to the two correlativity of ECG signal, an ECG signal is cut and aligned to form a 2-D data array, and then 2-D MSPIHT can be applied. Simulation experiments by using the 2-D MSPIHT algorithm and SPIHT compression algorithms have been conducted to verify the validity of the 2-D MSPIHT algorithm and test its performance. The experimental results show that the proposed 2-D MSPIHT algorithm is valid and greater compression ratio can be achieved when the quality of the reconstructed signal is good.
机译:本文已经提出了一种新的二维(2-D)心电图(ECG)信号压缩算法,其基于SPIHT算法的分层树(2-D MSPIHT)中的2D修改分区分区。根据ECG信号的两个相关性,切割ECG信号并对齐以形成2-D数据阵列,然后可以应用2-D MSPIHT。已经进行了使用2-D MSPIHT算法和SPIHT压缩算法的仿真实验,以验证2-D MSPIHT算法的有效性并测试其性能。实验结果表明,当重建信号的质量良好时,所提出的2-D MSPIHT算法有效且更大的压缩比。

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