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
Quality controlled ECG compression using Discrete Cosine transform (DCT) and Laplacian Pyramid (LP)
TL;DR: A new quality controlled Discrete Cosine transform (DCT) and Laplacian Pyramid based compression method for electrocardiogram (ECG) signal and results show that DCT gives better performance at low PRD.
Proceedings ArticleDOI
A two dimensional wavelet packet approach for ECG compression
A.R.A. Moghaddam,K. Nayebi +1 more
TL;DR: One simple compression algorithm in the 2-D WPT domain, which is applied to some records in the MIT-BIH arrhythmia database shows lower percent root mean square difference (PRD) than 1-D wavelet based compression methods for the same compression ratio (CR).
Journal ArticleDOI
Quality-on-demand compression of EEG signals for telemedicine applications using neural network predictors
TL;DR: It is found that the quality of the reconstructed EEG signal is preserved at a low PRD thereby yielding better compression results compared to results obtained using lossless scheme.
Journal ArticleDOI
ECG signal compression using combined modified discrete cosine and discrete wavelet transforms.
TL;DR: Simulation results show that the proposed hybrid two-stage electrocardiogram signal compression method compares favourably with various state-of-the-art ECG compressors and provides low bit-rate and high quality of the reconstructed signal.
Journal ArticleDOI
Quality-Controlled Compression Method using Wavelet Transform for Electrocardiogram Signals
TL;DR: The quantization strategy of extracted non-zero wavelet coefficients (NZWC), according to the combination of RLE, HUFFMAN and arithmetic encoding of the NZWC and a resulting lookup table, allow the accomplishment of high compression ratios with good quality reconstructed signals.
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.