Uniformly high order accurate essentially non-oscillatory schemes, 111
Journal of Computational Physics
The Data Compression Book
Constrained ECG compression algorithm using the block-based discrete cosine transform
Digital Signal Processing
ENO Multiresolution Schemes with General Discretizations
SIAM Journal on Numerical Analysis
Optimal zonal wavelet-based ECG data compression for a mobile telecardiology system
IEEE Transactions on Information Technology in Biomedicine
ECG data compression using truncated singular value decomposition
IEEE Transactions on Information Technology in Biomedicine
Least squares quantization in PCM
IEEE Transactions on Information Theory
Nonlinear multiresolution signal decomposition schemes. I. Morphological pyramids
IEEE Transactions on Image Processing
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This paper presents an essentially non-oscillatory point-value (ENOPV) scheme based ECG compression. ENOPV scheme is a combination of multiresolution scheme (analysis) and interpolation scheme (synthesis). Advantage of using ENOPV scheme is that it avoids the discontinuities and therefore large numbers of coefficient do not appear at edges. It also provides better compression capabilities. The results are presented in tabular and graphical form for the different ECG signals of varying characteristics. Results are also compared with the results reported in the literature. It has been observed that there is significant increase in compression ratio (CR) at a given quality. For example, at percentage of root mean square difference (PRD) 2.65, the CR in case of ENOPV based scheme is 28.22, which is higher than 10.84, the best reported result.