Journal ArticleDOI
A wavelet transform-based ECG compression method guaranteeing desired signal quality
Jie Chen,Shuichi Itoh +1 more
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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.read more
Citations
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Journal ArticleDOI
A 2-D ECG compression method based on wavelet transform and modified SPIHT
TL;DR: A two-dimensional wavelet-based electrocardiogram (ECG) data compression method which employs a modified set partitioning in hierarchical trees (SPIHT) algorithm and achieves high compression ratio with relatively low distortion and is effective for various kinds of ECG morphologies.
Journal ArticleDOI
Wavelet energy based diagnostic distortion measure for ECG
TL;DR: Wavelet Energy based diagnostic distortion (WEDD) provides a better prediction accuracy and exhibits a statistically better monotonic relationship with the MOS ratings than Wavelet based weighted percentage root mean square difference (PRD) measure (WWPRD), PRD and other objective measures.
Journal ArticleDOI
Wavelet-based ECG compression using dynamic vector quantization with tree codevectors in single codebook
TL;DR: The proposed vector quantizer (VQ) in the wavelet domain for the compression of electrocardiogram (ECG) signals outperforms many recently published methods, including the best one known as the set partitioning in hierarchical trees.
Journal ArticleDOI
Wavelet-based electrocardiogram signal compression methods and their performances: A prospective review
TL;DR: A prospective review of wavelet-based ECG compression methods and their performances based upon findings obtained from various experiments conducted using both clean and noisy ECG signals is presented.
Journal ArticleDOI
Compression of ECG signals by optimized quantization of discrete cosine transform coefficients.
TL;DR: Experiments with ECG records used in other results from the literature revealed that the proposed method compares favorably with various classical and state-of-the-art ECG compressors.
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.