Electrocardiograph compression based on sifting process of empirical mode decomposition


A replacement empirical mode decomposition (EMD)-based mostly electrocardiograph (ECG) compressor is presented. Utilising the sifting method in EMD, the spline fitting operate of the successive mean extrema together with the first intrinsic mode functions can perfectly reconstruct the ECG signal, the proposed technique using the mean extrema for the compression. With optimal selection of the mean extrema and dead zone quantisation, and the appliance of run length coding and Huffman coding for further compression, the experimental results regarding several records of the MIT-BIH arrhythmia database shows that the proposed ways have a higher compression results than recently developed ECG compressors.

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