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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.

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Citations
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Journal ArticleDOI

LSPIHT Algorithm for ECG Data Compression and Transmission for Telemedicine Applications

TL;DR: The algorithm is compared with other algorithms for encoding ECG data, and analysis shows that the LSPIHT attains better rate-distortion performance and low network complexity than other encoding techniques.

Wavelets con aplicación a compresión de datos

TL;DR: This paper presents the basic concept about wavelets theory and approach to data compression for wireless communications and the level one Haar transformation for discrete implementation on a RISC PIC18F4520 of microchip.
Proceedings ArticleDOI

Off-line signature evaluation for dqWPT hybrid technique based differential protection of power transformers

TL;DR: The extracted signature, from the behavior of different types of transients in the power transformer, is tested and evaluated in order to provide a fast protection for power transformers to permit the development of an efficient differential relay to detect internal faults that may occur in powertransformers.
Proceedings ArticleDOI

Assessment of information redundancy in ECG signals

TL;DR: The morphological information redundancy in standard 12 lead ECG channels is studied through the loss of clinical information in the reconstructed signal and a comparison of the clinical parameters measured from the reconstructed and original ECG is reported.
Proceedings ArticleDOI

Low complexity, losless ECG data compression algorthims for Wireless Sensor Network

TL;DR: A significant data reduction has been made for a low data rate wireless communications, i.e. Bluetooth and ZigBee, which helps to reduce the latency and can be implemented by a very low profile microprocessor.
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

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.
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