Journal ArticleDOI
A novel compression algorithm for electrocardiogram signals based on the linear prediction of the wavelet coefficients
TLDR
A new algorithm for electrocardiogram (ECG) compression based on the compression of the linearly predicted residuals of the wavelet coefficients of the signal, which reduces the bit rate while keeping the reconstructed signal distortion at a clinically acceptable level.About:
This article is published in Digital Signal Processing.The article was published on 2003-10-01. It has received 97 citations till now. The article focuses on the topics: Wavelet transform & Stationary wavelet transform.read more
Citations
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Journal Article
Wavelet Compression of ECG Signals Using SPIHT Algorithm
TL;DR: In this paper, a wavelet transform with a modified version of the set partitioning in hierarchical trees (SPIHT) coding algorithm was used for ECG data compression and the results showed the high efficiency of this method in ECG compression.
Journal ArticleDOI
Empirical Mode Decomposition and Wavelet Transform Based ECG Data Compression Scheme
TL;DR: A new electrocardiogram (ECG) data compression scheme which employs sifting function based empirical mode decomposition (EMD) and discrete wavelet transform and offers better compression performance with preserving the key features of the signal very well.
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.
Journal ArticleDOI
An electrocardiogram signal compression techniques: a comprehensive review
TL;DR: This paper is a review of most promising algorithms of ECG compression with emphasis to wavelet-based ECG signal compression, and it is the observation that the wave let-based algorithms provide better compression performance.
Journal ArticleDOI
ECG signal compression using ASCII character encoding and transmission via SMS
TL;DR: It is observed that the proposed algorithm can reduce the file size significantly (compression ratio: 22.47) preserving ECG signal morphology.
References
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Journal ArticleDOI
Linear prediction: A tutorial review
TL;DR: This paper gives an exposition of linear prediction in the analysis of discrete signals as a linear combination of its past values and present and past values of a hypothetical input to a system whose output is the given signal.
Book
Digital Processing of Speech Signals
TL;DR: This paper presents a meta-modelling framework for digital Speech Processing for Man-Machine Communication by Voice that automates the very labor-intensive and therefore time-heavy and expensive process of encoding and decoding speech.
Journal ArticleDOI
Wavelets and filter banks: theory and design
Martin Vetterli,Cormac Herley +1 more
TL;DR: The perfect reconstruction condition is posed as a Bezout identity, and it is shown how it is possible to find all higher-degree complementary filters based on an analogy with the theory of Diophantine equations.
Journal ArticleDOI
ECG data compression techniques-a unified approach
TL;DR: The theoretical bases behind the direct ECG data compression schemes are presented and classified into three categories: tolerance-comparison compression, DPCM, and entropy coding methods and a framework for evaluation and comparison of ECG compression schemes is presented.
Journal ArticleDOI
Wavelet and wavelet packet compression of electrocardiograms
TL;DR: 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.