Compression of electrocardiogram signals using JPEG2000
IEEE Transactions on Consumer Electronics
A wavelet-based analysis of fractal image compression
IEEE Transactions on Image Processing
Constrained ECG compression algorithm using the block-based discrete cosine transform
Digital Signal Processing
A lossless ECG data compression technique using ASCII character encoding
Computers and Electrical Engineering
Electrocardiogram Signal Compression Using Beta Wavelets
Journal of Mathematical Modelling and Algorithms
Beta wavelet based ECG signal compression using lossless encoding with modified thresholding
Computers and Electrical Engineering
Hi-index | 0.00 |
In this paper, we proposed a new two-dimensional (2-D) wavelet-based electrocardiogram (ECG) data compression algorithm. A 1-D ECG data is first segmented and aligned to a 2-D data array, thus the two kinds of correlation of heartbeat signals can be fully utilized. And then 2-D wavelet transform is applied to the constructed 2-D ECG data array. A modified vector quantization (VQ) is employed to the wavelet coefficients. This modified VQ algorithm constructs a new tree vector (TV) which well utilizing the characteristics of the wavelet coefficients. Records selected from the MIT/BIH arrhythmia database are tested contrastively using the proposed algorithm, some compression algorithms based on wavelet transform and the other 2-D ECG compression algorithms. The experimental results show that the proposed method is suitable for various morphologies of ECG data, and that it achieves higher compression ratio with the characteristic features well preserved.