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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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Journal ArticleDOI

Wavelet transforms and the ECG: a review.

TL;DR: In this review, the emerging role of the wavelet transform in the interrogation of the ECG is discussed in detail, where both the continuous and the discrete transform are considered in turn.
Journal ArticleDOI

Compressed Sensing for Real-Time Energy-Efficient ECG Compression on Wireless Body Sensor Nodes

TL;DR: This paper quantifies the potential of the emerging compressed sensing (CS) signal acquisition/compression paradigm for low-complexity energy-efficient ECG compression on the state-of-the-art Shimmer WBSN mote and shows that CS represents a competitive alternative to state- of- the-art digital wavelet transform (DWT)-basedECG compression solutions in the context of WBSn-based ECG monitoring systems.
Journal ArticleDOI

Recommendations for the Standardization and Interpretation of the Electrocardiogram

TL;DR: This statement examines the relation of the resting ECG to its technology to establish standards that will improve the accuracy and usefulness of the ECG in practice and to recommend recommendations for ECG standards.
Journal ArticleDOI

Wavelet compression of ECG signals by the set partitioning in hierarchical trees algorithm

TL;DR: A wavelet electrocardiogram (ECG) data codec based on the set partitioning in hierarchical trees (SPIHT) compression algorithm is proposed and is significantly more efficient in compression and in computation than previously proposed ECG compression schemes.
References
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Journal ArticleDOI

Electrocardiographic Data Compression Via Orthogonal Transforms

TL;DR: Electrocardiographic data compression via orthogonal transform processing is studied using canine ECG data using the Haar transform and the discrete cosine transform.
Journal ArticleDOI

Scan-Along Polygonal Approximation for Data Compression of Electrocardiograms

TL;DR: Three fast and efficient "scan-along" algorithms for compressing digitized electrocardiographic data are described, based on the minimum perimeter polygonal approximation for digitized curves.
Patent

Image data compression.

TL;DR: In this article, a system for compressing moving image data is described, where the decompression side has apparatus for forming a sequence of arrays of pixel display values (76, 78) for driving a display device (4) from a stream of compressed data, each of which represents a frame of a moving image, and the compression side provide complementary apparatus for generating such pixel copy codes and new pixel codes from source image data.
Journal ArticleDOI

Digital analysis of the electroencephalogram, the blood pressure wave, and the electrocardiogram

TL;DR: Computer analysis of the ECG has been directed toward morphological and rhythm diagnosis, having great potential utility in clinical heart stations, and toward rhythm monitoring, a most practical application arising in coronary intensive care units.
Journal ArticleDOI

Signal-to-noise and idle channel performance of differential pulse code modulation systems – particular applications to voice signals

TL;DR: It is shown that the figure of merit can be optimized and the best quantizer bias from the point of view of idle channel performance is found.
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