Electrocardiograph compression based on sifting process of empirical mode decomposition. Issue 9 (4th April 2016)

• Record Type: Journal Article
• Authors: Zhao, Chaojun; Chen, Zhijian; Meng, Jianyi; Xiang, Xiaoyan
• Is Part Of: Electronics letters. Volume 52:Issue 9(2016)
• Page Start: 688
• Page End: 690
• Publication Date: 2016-04-04
• Subjects: 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; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2015.3391
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : 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.