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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Journal ArticleDOI
Application of Biosignal Data Compression for u-Health Sensor Network System
TL;DR: A real-time application of data compression/decompression method in u-Health monitoringsystem in order to improve the network efficiency and produce an outstanding PRD compared toother previous reports is proposed.
Proceedings ArticleDOI
An equal compression-ratio comparison of beat-to-beat and SAPA2 compression techniques
S.R. Cannon,L.E. Widman +1 more
TL;DR: In this article, the authors compared beat-to-beat substraction (BBS) and scan-along polynomial approximation hash 2 (SAPA2) ECG direct compression methods.
Journal ArticleDOI
Modified SPIHT wavelet compression for ECG signal.
TL;DR: A modified version of Set Partitioning In Hierarchical Trees (SPIHT) wavelet compression method, which has been developed for ECG signal compression, that retains its simplicity, computational efficiency and self-adaptiveness, without compromising on any other performance parameter.
Proceedings ArticleDOI
ECG signal compression using classified gain-shape vector quantisation in the wavelet transform domain
TL;DR: A new wavelet transform based classified vector quantisation ECG compression system that facilitates the design of optimal codebooks for various subband components of the signal.
Proceedings ArticleDOI
Efficient bit allocation for high quality subband coding using non-selective filter banks under quantization noise constraints
TL;DR: This paper addresses the problem of computing the optimum bit allocation in a subband coder with low selectivity filters, while maintaining the power of quantization noise below a given value by using the Lagrange multiplier method.
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