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. >read more
Citations
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Proceedings ArticleDOI
Analysis of the ECG Signal Using SVD-Based Parametric Modelling Technique
TL;DR: A new parametric modeling technique for the analysis of the ECG signal is presented in this paper which involves the projection of the excitation signal on the right eigenvectors of the impulse response matrix of the LPC filter.
Patent
System and method for smoothing sampled digital signals
TL;DR: In this paper, a truncated entropy encoding map is generated and the values within the map are selected to be encoded or unencoded to provide an overall compression of the data, which is then used by an encoder to further sub-select the values.
Proceedings ArticleDOI
An improved method for 2-D ECG compression based on SPIHT algorithm
TL;DR: An improved wavelet based 2-D ECG compression method is presented which employs set partitioning in hierarchical trees (SPIHT) algorithm and run length (RL) coding and results show that the wavelet function biorthogonal-6.8 with five level of decomposition has better performance compared to others.
Proceedings ArticleDOI
An Efficient Approach to ECG Signal Transmission via GPRS
A. Boskovic,M. Despotovic +1 more
TL;DR: An ECG compression method for efficient ECG signal transmission via GPRS network is presented, based on predictive coding using ARX model, which confirms a very good performance in terms of compression ratio.
Proceedings ArticleDOI
Algorithm for compression of EMG signals
Pedro de Azevedo Berger,Francisco Assis de Oliveira Nascimento,J. C. Carmo,Adson Ferreira da Rocha,I. dos Santos +4 more
TL;DR: The proposed algorithm for the compression of electromyography (EMG) signals uses an orthogonal transform followed by a thresholding process for choosing significant coefficients and results have shown that a compression gain greater than 10:1 can be achieved without perceptible errors in the decoded signal.
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