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Journal ArticleDOI

ECG data compression techniques-a unified approach

TLDR
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.
Abstract
Electrocardiogram (ECG) compression techniques are compared, and a unified view of these techniques is established. ECG data compression schemes are presented in two major groups: direct data compression and transformation methods. The direct data compression techniques are ECG differential pulse code modulation (DPCM) and entropy coding, AZTEC, Turning-point, CORTES, Fan and SAPA algorithms, peak-picking, and cycle-to-cycle compression methods. The transformation methods include Fourier, Walsh, and Karhunen-Loeve transforms. 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. A framework for evaluation and comparison of ECG compression schemes is presented. >

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Citations
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Optimal design of DPCM scheme for ECG signal handling

TL;DR: In this study, Levinson-Durbin algorithm is utilized to design the optimum predictor and classical and Lloyd methods are used to determine quantizer levels.
Journal ArticleDOI

Energy-Efficient ECG Signal Compression for User Data Input in Cyber-Physical Systems by Leveraging Empirical Mode Decomposition

TL;DR: This study develops the first scheme of leveraging empirical mode decomposition (EMD) on ECG signals for sparse feature modeling and compression and further proposes a new ECG signal compression framework based on EMD constructed feature dictionary.

CardioSmart: Sistema Inteligente de Monitorización Cardiológica Empleando GPRS

TL;DR: In this article, a trabajo de investigacion multidisciplinario medicina/ingenieria que consiste en el desarrollo of un sistema europeo de Telecardiologia for monitorizacion continua de pacientes empleando GPRS/GSM.
Journal ArticleDOI

Turning point algorithm for speech signal compression

TL;DR: The turning point algorithm has applied on the input speech signal from International Phonetic Alphabet database in the form of vowels, consonants and narratives of American-English, and the compressed speech signal now has far much better hearing quality.
Journal ArticleDOI

Predictive ECG coding using linear time-invariant models

TL;DR: Results of this study have shown that 8 bits/sample, although frequently in use, does not satisfy quality criteria for medical doctors, and predictive technique for lossless ECG compression using linear time-invariant models is presented.
References
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Journal ArticleDOI

A mathematical theory of communication

TL;DR: This final installment of the paper considers the case where the signals or the messages or both are continuously variable, in contrast with the discrete nature assumed until now.
Journal ArticleDOI

A Method for the Construction of Minimum-Redundancy Codes

TL;DR: A minimum-redundancy code is one constructed in such a way that the average number of coding digits per message is minimized.
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.
Journal ArticleDOI

Arithmetic coding for data compression

TL;DR: The state of the art in data compression is arithmetic coding, not the better-known Huffman method, which gives greater compression, is faster for adaptive models, and clearly separates the model from the channel encoding.
Proceedings ArticleDOI

Orthogonal transforms for digital signal processing

TL;DR: The utility and effectiveness of these transforms are evaluated in terms of some standard performance criteria such as computational complexity, variance distribution, mean-square error, correlated rms error, rate distortion, data compression, classification error, and digital hardware realization.
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