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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Journal ArticleDOI
Compression of ECG Signals Based on DWT and Exploiting the Correlation between ECG Signal Samples
TL;DR: This paper presents a hybrid technique for the compression of ECG signals based on DWT and exploiting the correlation between signal samples, which possesses higher compression ratios and lower PRD compared to the other wavelet transformation techniques.
Journal ArticleDOI
Wireless Electrocardiogram Transmission in ISM Band: An Approach Towards Telecardiology
TL;DR: A short range wireless telecardiology system is described with the objective to transmit electrocardiogram signal for remote end acquisition using a combination of modified delta encoding and run length encoding technique.
Proceedings ArticleDOI
Compression of electromyographic signals using image compression techniques
M. V. C. Costa,Pedro de Azevedo Berger,Adson Ferreira da Rocha,Joao L. A. Carvalho,Francisco Assis de Oliveira Nascimento +4 more
TL;DR: Although the JPEG2000 codec was originally designed for compression of still images, it is shown that it can also be used to compress EMG signals for both isotonic and isometric contractions.
Journal ArticleDOI
Contribution of the wavelet analysis to the noninvasive electrocardiology
TL;DR: This article aims to provide an overview of the wavelet technique applied to the area of quantitative electrocardiology without describing mathematical details of theWavelet theories that can be found elsewhere.
Journal ArticleDOI
Curvature based ECG signal compression for effective communication on WPAN
TL;DR: An ECG signal compression method for communications on WPAN, which uses feature points based on curvature, was proposed and it was concluded that the vertexes selected by the proposed method preserved all feature points of the ECG signals.
References
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A theory for multiresolution signal decomposition: the wavelet representation
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.
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.