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
An optimized cosine-modulated nonuniform filter bank design for subband coding of ECG signal
TL;DR: In this article, a simple iterative technique for the design of non-uniform cosine modulated filter banks (CMFBS) is presented, which employs a single parameter for optimization.
Journal ArticleDOI
Theoretical and experimental rate distortion performance in compression of ambulatory ECGs
P.S. Hamilton,Willis J. Tompkins +1 more
TL;DR: It is shown that first difference compression results in data rates that are roughly 30-40 b/s lower than theoretical estimates, but when average beat subtraction is used at lower distortion levels, achievable data rates are close to theoretical Estimates, but at higher distortion levels achievableData rates are as much as 60b/s higher than theoretical Estimates.
Journal ArticleDOI
A novel family of compression algorithms for ECG and other semiperiodical, one-dimensional, biomedical signals
TL;DR: A novel family of compression algorithms is presented, which is designed to exploit the redundancy of one-dimensional (1-D) semiperiodical biomedical signals resulting from the cyclic nature of the underlying physical process.
Journal ArticleDOI
Fast ECG data compression algorithms suitable for microprocessor systems
TL;DR: Two algorithms based on the scan-along polygonal approximation algorithm (SAPA) are described that are suitable for multichannel ECG data reduction on a microprocessor-based system and retains all of the details of the ST segment, which are important in ischaemia diagnosis, by employing the TP algorithm.
Journal Article
Efficient Method for ECG Compression Using Two Dimensional Multiwavelet Transform
TL;DR: An effective ECG compression algorithm based on two dimensional multiwavelet transform of 2-D arranged ECG signals is introduced and is significantly more efficient in comparison with previously proposedECG compression schemes.
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