Journal ArticleDOI
Wavelet and wavelet packet compression of electrocardiograms
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 ArticleDOI
Basis pursuit for ECG compression
Monica Fira,Liviu Goras +1 more
TL;DR: This paper presents a discussion concerning ECG signals compression using the basis pursuit (BP) approach applied for several overcomplete wavelet dictionaries, based on an “optimal” superposition of dictionary elements, by minimizing the l1 norm of the error.
Proceedings ArticleDOI
Development of wavelet based signal compression algorithm using adaptive coder in FPGA
TL;DR: Experimental results prove that the proposed coder outperforms than other coders such as novel algorithm, Djohn, EZW, SPIHT in terms of simplicity and coding efficiency.
Journal ArticleDOI
Empirical determination of an ECG compression ratio for mobile telecardiology applications.
TL;DR: The reconstructed ECG quality after compression with a wavelet-based low-delay algorithm is assessed, using both subjective and objective indices, to determine an empirically determined compression ratio.
Book ChapterDOI
An Application of Image Processing Technique for Compression of ECG Signals Based on Region of Interest Strategy
T. Shreekanth,Shashidhar R +1 more
TL;DR: It was conceded that this method surpasses some of the prevailing methods in the literature by attaining a higher Compression Ratio (CR) and moderate Percentage root- mean square difference (PRD).
Proceedings Article
Adaptative signal sampling and sample quantization for resource-constrained stream processing
TL;DR: An animated display showing the Nativity scene where human figures representing the Wise Men, shepherds, etc., move past the crib containing the infant Jesus, pausing, turning, bows, turns back, and then moves away.
References
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Journal ArticleDOI
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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
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Journal ArticleDOI
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.