Wavelet-based hybrid ECG compression technique

Authors:
Wang Xingyuan;Meng Juan
Affiliations:
School of Electronic & Information Engineering, Dalian University of Technology, Dalian, China 116024;School of Electronic & Information Engineering, Dalian University of Technology, Dalian, China 116024
Venue:
Analog Integrated Circuits and Signal Processing
Year:
2009

Citing 2
Cited 2

Compression of electrocardiogram signals using JPEG2000

IEEE Transactions on Consumer Electronics
A new, fast, and efficient image codec based on set partitioning in hierarchical trees

IEEE Transactions on Circuits and Systems for Video Technology

Beta wavelet based ECG signal compression using lossless encoding with modified thresholding

Computers and Electrical Engineering
An efficient technique for compressing ECG signals using QRS detection, estimation, and 2D DWT coefficients thresholding

Modelling and Simulation in Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, a new wavelet-based hybrid electrocardiogram (ECG) data compression technique is proposed. Firstly, in order to fully utilize the two correlations of heartbeat signals, 1-D ECG data are segmented and aligned to a 2-D data arrays. Secondly, 2-D wavelet transform is applied to the constructed 2-D data array. Thirdly, the set partitioning hierarchical trees (SPIHT) method and the vector quantization (VQ) method are modified, according to the individual characteristic of different coefficient subband and the similarity between the subbands. Finally, a hybrid compression method of the modified SPIHT and VQ is employed to the wavelet coefficients. Records selected from the MIT/BIH arrhythmia database are tested. The experimental results show that the proposed method is suitable for various morphologies of ECG data, and that it achieves high compression ratio with the characteristic features well preserved.