Journal ArticleDOI
Wavelet and wavelet packet compression of electrocardiograms
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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
A combined application of lossless and lossy compression in ECG processing and transmission via GSM-based SMS.
TL;DR: A software-based scheme for reliable and robust Electrocardiogram (ECG) data compression and its efficient transmission using Second Generation (2G) Global System for Mobile Communication (GSM) based Short Message Service (SMS).
Proceedings ArticleDOI
Enhancement of the spatial resolution of ECG using multi-scale Linear Regression
TL;DR: In this work, a patient specific model is proposed which utilizes the inter lead correlation in the transformed domain which performs better in preserving diagnostic information in comparison to the existing linear models.
Journal ArticleDOI
ECG compression using wavelet-based compressed sensing with prior support information
Michael Melek,Ahmed Khattab +1 more
TL;DR: In this paper, the adaptive reduced-set matching pursuit with partially known support (ARMP-PKS) compressed sensing reconstruction algorithm is proposed, which takes advantage of prior support information, which further improves the performance.
Proceedings ArticleDOI
Tunable-Q wavelet transform based optimal compression of cardiac sound signals
TL;DR: The proposed compression method has provided significant compression performance with lower distortion for various clinical cases as comprised in the publicly available dataset and has been found comparatively better than that of an existing wavelet transform (WT) based method.
Proceedings ArticleDOI
Short-term power load forecasting with least squares support vector machines and wavelet transform
TL;DR: A novel approach for short-term power load forecasting is presented that combines the advantage of WT with LS-SVM and Wavelet Transform theory and has greater generalizing ability and higher accuracy.
References
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Journal ArticleDOI
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.