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Multichannel ECG data compression method based on a new modeling method

机译:基于新建模方法的多通道心电图数据压缩方法

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This work addresses the problem of multichannel ECG data compression. The proposed method is based on the identification of an FIR system. The idea of this method is to consider different independent leads (I, II, V1 to V6) as the outputs of linear filters in which the excitation signal is one of these leads suitably chosen. For purposes of compression, the parameters of the FIR system are quantized and coded. Compression results are presented in terms of the signal-to-noise ratio (SNR) and compression ratio (CR). The results obtained shown a good reconstruction level with a high CR.
机译:这项工作解决了多通道ECG数据压缩的问题。所提出的方法基于FIR系统的识别。该方法的想法是要考虑不同的独立的引线(I,II,V1到V6)作为线性滤波器,其中所述激励信号是这些引线适当地选择的一个的输出。为了压缩,对FIR系统的参数进行量化和编码。压缩结果以信噪比(SNR)和压缩比(CR)表示。获得的结果显示出良好的重建水平和较高的CR。

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