Journal ArticleDOI
A wavelet transform-based ECG compression method guaranteeing desired signal quality
Jie Chen,Shuichi Itoh +1 more
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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.read more
Citations
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Journal ArticleDOI
A Novel ECG Data Compression Method Using Adaptive Fourier Decomposition With Security Guarantee in e-Health Applications
TL;DR: A novel electrocardiogram (ECG) compression method by adapting an adaptive Fourier decomposition (AFD) algorithm hybridized with a symbol substitution (SS) technique, which performs lossless compression enhancement and built-in data encryption, which is pivotal for e-health.
Journal ArticleDOI
iSAX: disk-aware mining and indexing of massive time series datasets
Jin Shieh,Eamonn Keogh +1 more
TL;DR: This work introduces a novel multi-resolution symbolic representation which can be used to index datasets which are several orders of magnitude larger than anything else considered in the literature, and provides analysis concerning parameter sensitivity, approximate search effectiveness, and lower bound comparisons between time series representations in a bit constrained environment.
Journal ArticleDOI
A quality-on-demand algorithm for wavelet-based compression of electrocardiogram signals
Shaou-Gang Miaou,Chih-Lung Lin +1 more
TL;DR: An algorithm is proposed to meet the PRD demand by searching for an appropriate bit rate in an automatic, smooth, and fast manner for the wavelet-based compression of medical signals such as electrocardiogram.
Journal ArticleDOI
Wavelet-Based ECG Data Compression System With Linear Quality Control Scheme
TL;DR: The 1-D reversible round-off nonrecursive discrete periodic wavelet transform is applied to overcome the WLG magnification effect in terms of the mechanisms of error propagation resistance and significant normalization of octave coefficients to enable the design of a multivariable quantization scheme that can obtain a compression performance with the approximate characteristics of linear distortion.
Journal ArticleDOI
Enhancement of bowel sounds by wavelet-based filtering
Leontios J. Hadjileontiadis,Christos Liatsos,Christos Mavrogiannis,T.A. Rokkas,Stavros M. Panas +4 more
TL;DR: Quantitative and qualitative analysis of the experimental results prove that the ability of the WTST-NST filter to remove noise and reveal the authentic structure of BS is excellent, and reduces hardware overhead when analysis ofBS is the primary aim.
References
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Journal ArticleDOI
Orthonormal bases of compactly supported wavelets
TL;DR: This work construct orthonormal bases of compactly supported wavelets, with arbitrarily high regularity, by reviewing the concept of multiresolution analysis as well as several algorithms in vision decomposition and reconstruction.
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A Technique for High-Performance Data Compression
TL;DR: A new compression algorithm is introduced that is based on principles not found in existing commercial methods in that it dynamically adapts to the redundancy characteristics of the data being compressed, and serves to illustrate system problems inherent in using any compression scheme.
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Digital Coding of Waveforms: Principles and Applications to Speech and Video
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ECG data compression techniques-a unified approach
TL;DR: 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.
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Wavelet and wavelet packet compression of electrocardiograms
TL;DR: Pilot data from a blind evaluation of compressed ECG's by cardiologists suggest that the clinically useful information present in original ECG signals is preserved by 8:1 compression, and in most cases 16:1 compressed ECGs are clinically useful.