Electrocardiograph compression based on sifting process of empirical mode decomposition

被引：14

作者：

Zhao, Chaojun ^{[1
]}

Chen, Zhijian ^{[1
]}

Meng, Jianyi ^{[2
]}

Xiang, Xiaoyan ^{[2
]}

机构：

[1] Zhejiang Univ, Inst VLSI Design, Hangzhou 310027, Zhejiang, Peoples R China

[2] Fudan Univ, State Key Lab ASIC & Syst, Shanghai 201203, Peoples R China

来源：

ELECTRONICS LETTERS | 2016年 / 52卷 / 09期

关键词：

splines (mathematics); electrocardiography; signal reconstruction; Huffman codes; runlength codes; medical signal processing; electrocardiography compression; sifting process; empirical mode decomposition; EMD-based ECG compressor; spline fitting function; intrinsic mode functions; ECG signal reconstruction; mean extrema; zone quantisation; run length coding; Huffman coding; MIT-BIH arrhythmia database; DISCRETE COSINE TRANSFORM; ECG COMPRESSION;

D O I：

10.1049/el.2015.3391

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A new empirical mode decomposition (EMD)-based electrocardiograph (ECG) compressor is presented. Utilising the sifting process in EMD, the spline fitting function of the successive mean extrema together with the first intrinsic mode functions can perfectly reconstruct the ECG signal, the proposed method using the mean extrema for the compression. With optimal selection of the mean extrema and dead zone quantisation, and the application 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 methods have a better compression results than recently developed ECG compressors.

引用

页码：688 / 689

页数：2

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