基于递归分割和抽取残差编码的心电波形压缩

F. Guilak
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引用次数: 1

摘要

提出了一种高质量、低比特率的心电波形压缩方法。该方法使用混合方法对波形进行编码:通过递归划分(消除了对拍点先验知识的要求),将高频分量表示为直线段,剩余的信号进行低通滤波、抽取,并使用自适应DPCM编码器进行编码。根据MIT-BIH心律失常数据库的一个子集评估,重建的波形保持了临床表现,同时将平均比特率降低到每通道150比特/秒以下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ECG waveform compression by recursive partitioning and decimated residual encoding
A method for high quality, low bit rate compression of ECG waveforms is presented. This method uses a hybrid approach for coding the waveform: higher frequency components are represented as straight-line segments by recursive partitioning (eliminating the requirement of prior knowledge of beat locations), and the remainder of the signal is low-pass filtered, decimated, and encoded using an Adaptive DPCM coder. The reconstructed waveform maintains clinical appearance, while reducing the average bit rate to less than 150 bits per second per channel, as evaluated on a subset of the MIT-BIH Arrhythmia Database.
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