Journal ArticleDOI
ECG data compression techniques-a unified approach
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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
Investigation on the Compression of Electrocardiogram Signals Using Dual Tree Complex Wavelet Transform
TL;DR: Compression using dual tree complex wavelet transform (DT-CWT) has been proposed, that results in many wavelet coefficients getting close to zero and Set Partitioning in Hierarchical Tree (SPIHT) coding is used along with DT-C WT to compress data.
Proceedings Article
A novel approach in testing the accuracy of ECG compression using partial percentage RMS difference and dynamic time warping
G. P. Shorten,M. J. Burke +1 more
TL;DR: A novel accuracy test procedure is presented which demonstrates how partial PRD calculations and more importantly dynamic time warping can be used to compare an annotated ECG signal and its reconstructed approximation identifying distortion of clinically significant information.
Proceedings ArticleDOI
ECG signal compression and analysis in long-term monitoring
B. Huang,W. Kinsner +1 more
TL;DR: A moment-invariant compression technique for electrocardiogram (ECG) signals, applicable in a long-term (Holter) monitoring and analysis, focuses on morphological cycle-to-cycle ECG data compression of a normal case.
Journal ArticleDOI
Quality Guaranteed ECG Signal Compression Using Tunable-Q Wavelet Transform and Möbius Transform-Based AFD
TL;DR: In this paper, a combination of tunable-Q wavelet transform (TQWT) and adaptive Fourier decomposition (AFD) was used for ECG signal compression.
Journal ArticleDOI
Wavelet based ECG compression with adaptive thresholding and efficient coding.
TL;DR: Simulation results show that the proposed technique outperforms others obtained by previously published schemes.
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