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
Enhanced real-time ECG coder for packetized telecardiology applications
TL;DR: A new real-time compression method for electrocardiogram (ECG) signals has been developed based on the wavelet transform approach, specifically adaptable for packetized telecardiology applications.
Journal ArticleDOI
An efficient technique for compressing ECG signals using QRS detection, estimation, and 2D DWT coefficients thresholding
TL;DR: An efficient electrocardiogram signals compression technique based on QRS detection, estimation, and 2D DWT coefficients thresholding achieves high compression ratio with relatively low distortion and low computational complexity in comparison with other methods.
Journal ArticleDOI
Data-Driven Distributed Optical Vibration Sensors: A Review
Li-Yang Shao,Shuaiqi Liu,Sankhyabrata Bandyopadhyay,Feihong Yu,Weijie Xu,Chao Wang,Heng-Chao Li,Mang I Vai,Linlin Du,Jinsheng Zhang +9 more
TL;DR: Detailed methodologies of SNR enhancement post-processing algorithms ininline-formula-OTDR systems employed with pattern classification algorithms are described in this paper to provide a design pathway for improving the performance of these systems.
Journal ArticleDOI
Embedded filter bank-based algorithm for ECG compression
Manuel Blanco-Velasco,Fernando Cruz-Roldán,Eduardo Moreno-Martínez,Juan-Ignacio Godino-Llorente,Kenneth E. Barner +4 more
TL;DR: This work proposes a new technique that considers no relationship among coefficients, and is therefore suitable for use with WP, and makes it possible to apply the quantization method to M-channel maximally decimated filter banks.
Journal ArticleDOI
On ECG Compressed Sensing using Specific Overcomplete Dictionaries
TL;DR: The paper presents a number of results regarding the construction of specific overcomplete dictionaries for ECG compressed sensing (CS), and these dictionaries were built using normal and ordinary dictionaries.
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.