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
Real-time Evaluation of ECG Acquisition Systems through Signal Quality Assessment in Horses during Submaximal Treadmill Test
Mimma Nardelli,Antonio Lanata,Gaetano Valenza,Micaela Sgorbini,Paolo Baragli,Enzo Pasquale Scilingo +5 more
TL;DR: A novel real time index designed to assess the quality of electrocardiographic (ECG) traces recorded in a group of five horses during a submaximal treadmill test procedure shows that in each experimental phase textile electrodes are more robust to movement artifacts with respect to the reddot showing a significant evidence of their better performance.
Proceedings Article
Optimum wavelet transform-based ECG compression and dissimilarity measure based noise performance analysis
Mustafa Namdar,Lutfiye Durak +1 more
TL;DR: An optimum wavelet transform-based ECG compression technique is proposed and its noise performance analysis is investigated and two numerical metrics PRD and CR are used as the major performance evaluation parameters to analyze the results of the implemented method quantitatively.
Proceedings ArticleDOI
Compressing electrocardiogram signals using parameterized wavelets
TL;DR: A compression method, based on the choice of a wavelet that matches the electrocardiogram signal to be compressed, is proposed, and coding methods are applied to the retained coefficients in order to improve the compression.
Dissertation
Kompression von EEG-Daten mittels räumlich harmonischer Zerlegung
TL;DR: The study of the efficiency of the compression method for the storage and transmission of EEG data gives an overview on the relevant quality criteria of compression rate and quality of the compressed data as well as the art of EEGData compression.
Proceedings ArticleDOI
Packet-size-Controlled ECG Compression Algorithm based on Discrete Wavelet Transform and Running Length Encoding
TL;DR: Discrete Wavelet Transform (DWT) method, Bit-Field Preserving (BFP) and Running Length Encoding (RLE) are selected as compression tools in this work and DWT-BFP-RLE has shown a potential in preserving the critical (diagnostic) part of the signal.
References
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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.
Journal ArticleDOI
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.