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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Proceedings ArticleDOI
Fidelity-preserving coefficient truncation method for wavelet-based compressors for biomedical IoT applications
TL;DR: This paper presents four rudimentary truncation strategies to analyze and demonstrate how the choice of truncation strategy can affect the signal in terms of compression ratio (CR) and signal fidelity, and proposes a truncation technique called ‘ScaleRelativeMAX’, which exhibits some useful properties for sensitive biomedical applications.
Journal ArticleDOI
ECG compression using wavelet transform and particle swarm optimization.
Ahmad Alshamali,M. Al-Aqil +1 more
TL;DR: A new adaptive thresholding mechanism to determine the significant wavelet coefficients of an electrocardiogram (ECG) signal is proposed, based on estimating thresholds for different sub-bands using the concept of energy packing efficiency (EPE).
Proceedings Article
Extracting a reference signal for cardiac MRI gating: Experimental study for wavelet functions choice.
TL;DR: The results have shown that an appropriate choice of the wavelet function could considerably improve the quality of the reference signal for a better MRI synchronization.
Journal ArticleDOI
Application of Discrete Wavelet Transform with Changing Presentation of Coefficients in Data Compression in Mobile ECG Monitoring Systems
TL;DR: An ECG data compression algorithm is presented which is based on transformation of coefficients of a discrete wavelet transform implemented using a computing device with limited processing power and low power consumption.
Proceedings ArticleDOI
Quality Controlled ECG Compression using Maxlift and Medlift Transforms
TL;DR: A new quality controlled Maxlift and Medlift transforms based compression methods for electrocardiogram (ECG) signal are presented and show that Medlift gives better performance as compared to the Maxlift.
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.
Journal ArticleDOI
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
Journal ArticleDOI
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.
Journal ArticleDOI
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.