Title :
Wavelet-based ECG signals compression using SPIHT technique and VKTP coder
Author :
Boukhennoufa, N. ; Benmahammed, K. ; Abdi, M.A. ; Djeffal, F.
Author_Institution :
Dept. of Electron., Univ. of Batna, Batna, Algeria
Abstract :
In this paper, an efficient Electrocardiogram (ECG) signal compression method based on wavelet transform is presented. The proposed method combines the adapted SPIHT (Set Partitioning In Hierarchical Trees) method with VKTP (Vector K-Tree Partitioning) coder. The SPIHT method is based on the use of wavelet transform which is very well suited to locate the energy of the signal in fewer coefficients. Using the VKTP algorithm, to encode the generated bit stream of SPIHT algorithm, we achieve high compression performances. The tests of this lossy compression/ decompression technique are performed on many ECG records from Arrhythmia Database. The obtained results illustrate the capabilities of the proposed approach to improve the compression ratio while maintaining a good signal quality.
Keywords :
data compression; electrocardiography; medical signal processing; wavelet transforms; ECG signals compression; VKTP coder; adapted SPIHT method; arrhythmia database; electrocardiogram signal compression; set partitioning in hierarchical trees method; vector k-tree partitioning coder; wavelet transform; Data compression; Discrete Fourier transforms; Discrete cosine transforms; Discrete wavelet transforms; Electrocardiography; Fourier transforms; Information analysis; Partitioning algorithms; Signal processing algorithms; Wavelet transforms; CR; DWT; ECG; PRD; SPIHT; VKTP;
Conference_Titel :
Signals, Circuits and Systems (SCS), 2009 3rd International Conference on
Conference_Location :
Medenine
Print_ISBN :
978-1-4244-4397-0
Electronic_ISBN :
978-1-4244-4398-7
DOI :
10.1109/ICSCS.2009.5412584