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Journal ArticleDOI

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

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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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Journal ArticleDOI

ECG compression using long-term prediction

TL;DR: A new algorithm for ECG signal compression is introduced that can be considered a generalization of the recently published average beat subtraction method, and was found superior at any bit rate.
Journal ArticleDOI

ECG Data Compression Using Fourier Descriptors

TL;DR: The method of Fourier descriptors (FD's) is presented for ECG data compression, resistant to noisy signals and is simple, requiring implementation of forward and inverse FFT.
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

ECG coding by wavelet-based linear prediction

TL;DR: The significant feature of the proposed technique is that, while the error is nearly uniform throughout the cycle, the diagnostically crucial QRS region is kept free of maximal reconstruction error.
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