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Journal ArticleDOI

A wavelet transform-based ECG compression method guaranteeing desired signal quality

TLDR
A new electrocardiogram compression method based on orthonormal wavelet transform and an adaptive quantization strategy, by which a predetermined percent root mean square difference (PRD) can be guaranteed with high compression ratio and low implementation complexity are presented.
Abstract
This paper presents a new electrocardiogram (ECG) compression method based on orthonormal wavelet transform and an adaptive quantization strategy, by which a predetermined percent root mean square difference (PRD) can be guaranteed with high compression ratio and low implementation complexity.

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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.
Proceedings ArticleDOI

iSAX: indexing and mining terabyte sized time series

TL;DR: This work shows how a novel multi-resolution symbolic representation can be used to index datasets which are several orders of magnitude larger than anything else considered in the literature, allowing for the exact mining of truly massive real world datasets.
Journal ArticleDOI

ECG signal compression using analysis by synthesis coding

TL;DR: An electrocardiogram (ECG) compression algorithm, called analysis by synthesis ECG compressor (ASEC), is introduced and was found to be superior to several well-known ECG compression algorithms at all tested bit rates.
Journal ArticleDOI

Quality assessment of ECG compression techniques using a wavelet-based diagnostic measure

TL;DR: Comparative results with existing quality measures show that the new measure is insensitive to error variation, is accurate, and correlates very well with subjective tests.
References
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Proceedings ArticleDOI

MULTIWAVE: a multiresolution wavelet-based ECG data compression algorithm

TL;DR: The performance of the MULTIWAVE algorithm is found to be superior to that of the TURNING POINT algorithm at all compression rates for all ECG records.
Proceedings ArticleDOI

Scalar quantization noise analysis and optimal bit allocation for a wavelet pyramid image coding system

TL;DR: A complete analysis for the reconstruction noise due to the scalar quantization of a wavelet pyramid image coding system is given, and it is shown that when the optimal bit allocation scheme is adopted, the reconstruction noises and the quantization noises of the wavelet Pyramid system become regular, and that the reconstructed noises can be approximated to stationary white noises.
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