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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Journal ArticleDOI
Comparison of compression ratios for ECG signals by using three time-frequency transformations
TL;DR: Compression results of ECG signal is presented by using three time-frequency transformations: Discrete Wavelet Transform, Wavelet Packets and Modified Cosine Transform to show how much reconstructed signal is similar to the original one.
Proceedings ArticleDOI
Combinatorial ECG analysis for mobile devices
TL;DR: In this paper, the peak detection algorithm is implemented in Java ME and the program is deployed on a mobile phone and simulators, and experimental results are discussed.
Journal ArticleDOI
A novel ECG signal compression using wavelet and discrete anamorphic stretch transforms
Thilagavathy R,Venkataramani B +1 more
TL;DR: In this paper, a one-dimensional complex Discrete Anamorphic Stretch Transform (DAST) is proposed for precompression of the ECG signal for real-time transmission using channels with limited bandwidth.
Proceedings ArticleDOI
Wavelet-based ECG compression using dynamic multi-stage vector quantization
Gyu-Hyeok Jeong,In-Sung Lee +1 more
TL;DR: An improved wavelet compression algorithm for electrocardiogram (ECG) signals which is combined with the lifting wavelet transform (WT) and the dynamic multi-stage vector quantization (MS-VQ) and preliminary results indicate that the proposed method excels over previous techniques for high fidelity compression.
Journal ArticleDOI
Compresión de imágenes médicas
Tatiana Noreña,Eduardo Romero +1 more
TL;DR: A review of compression techniques used for image storage, and a critical analysis of them from the point of view of their use in clinical settings is presented in this paper, where the authors present a revision of las tecnicas de compresion mas utilizadas for el almacenamiento de imagenes, asi como un analisis critico of estas desde el punto de vista de their uso in ambientes clinicos.
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.