Journal ArticleDOI
Wavelet and wavelet packet compression of electrocardiograms
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TLDR
Pilot data from a blind evaluation of compressed ECG's by cardiologists suggest that the clinically useful information present in original ECG signals is preserved by 8:1 compression, and in most cases 16:1 compressed ECGs are clinically useful.Abstract:
Wavelets and wavelet packets have recently emerged as powerful tools for signal compression. Wavelet and wavelet packet-based compression algorithms based on embedded zerotree wavelet (EZW) coding are developed for electrocardiogram (ECG) signals, and eight different wavelets are evaluated for their ability to compress Holter ECG data. Pilot data from a blind evaluation of compressed ECG's by cardiologists suggest that the clinically useful information present in original ECG signals is preserved by 8:1 compression, and in most cases 16:1 compressed ECG's are clinically useful.read more
Citations
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Proceedings Article
ECG comptression using run length encoding
S. Akhter,Mohammad Ariful Haque +1 more
TL;DR: A new approach of run length encoding (RLE) is proposed in this research to compress discrete cosine transform (DCT) coefficients of time domain ECG signals because of the high probability of redundancies in consecutive coefficients.
Journal ArticleDOI
Myoelectric signal compression using zero-trees of wavelet coefficients
TL;DR: A comparison of a number of lossy compression techniques has revealed that the EZW algorithm exhibits superior performance to a hard thresholding wavelet approach, but falls short of adaptive differential pulse code modulation.
Proceedings ArticleDOI
Lossless ECG compression with lifting wavelet transform
TL;DR: A new algorithm for lossless ECG compression using lifting wavelet transform is presented, which is implemented in its integers to integers version, and thus quantization of wavelet coefficients and rounding of errors are avoided.
Journal ArticleDOI
Wavelet-based hybrid ECG compression technique
Wang Xingyuan,Meng Juan +1 more
TL;DR: The experimental results show that the proposed wavelet-based hybrid electrocardiogram data compression technique is suitable for various morphologies of ECG data, and that it achieves high compression ratio with the characteristic features well preserved.
Journal ArticleDOI
ECG Data Compression using Wavelet Transform
Suresh Patel,Ashutosh Datar +1 more
TL;DR: The proposed compression method for electrocardiogram (ECG) signals using wavelet transform shows better performance with high compression ratios and good quality reconstructed signals.
References
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TL;DR: In this paper, it is shown that the difference of information between the approximation of a signal at the resolutions 2/sup j+1/ and 2 /sup j/ (where j is an integer) can be extracted by decomposing this signal on a wavelet orthonormal basis of L/sup 2/(R/sup n/), the vector space of measurable, square-integrable n-dimensional functions.
Book
Ten lectures on wavelets
TL;DR: This paper presents a meta-analyses of the wavelet transforms of Coxeter’s inequality and its applications to multiresolutional analysis and orthonormal bases.
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Ten Lectures on Wavelets
TL;DR: In this article, the regularity of compactly supported wavelets and symmetry of wavelet bases are discussed. But the authors focus on the orthonormal bases of wavelets, rather than the continuous wavelet transform.
Journal ArticleDOI
Orthonormal bases of compactly supported wavelets
TL;DR: This work construct orthonormal bases of compactly supported wavelets, with arbitrarily high regularity, by reviewing the concept of multiresolution analysis as well as several algorithms in vision decomposition and reconstruction.
Journal ArticleDOI
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
Amir Said,William A. Pearlman +1 more
TL;DR: The image coding results, calculated from actual file sizes and images reconstructed by the decoding algorithm, are either comparable to or surpass previous results obtained through much more sophisticated and computationally complex methods.