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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Time series retrieval: indexing and mining large datasets
Eamonn Keogh,Jin-Wien Shieh +1 more
TL;DR: In this paper, a multi-resolution symbolic representation for time series called indexable Symbolic Aggregate approXimation (iSAX) is proposed to facilitate similarity search on large time series datasets.
DissertationDOI
Time-frequency and point process algorithms for cardiac arrhythmia analysis and cardiorespiratory control
TL;DR: A framework for generating new classes of time-frequency distributions with many desirable properties is developed, based on multi-dimensional Fourier transform of a radially symmetric function, and can be used to generate new distributions with unique characteristics.
Proceedings ArticleDOI
An effective wavelet-based lossy compression of noisy ECG signals
TL;DR: Experiments show that the proposed wavelet-based lossy compression of noisy ECG signals based on the set partitioning in hierarchical trees (SPIHT) coding algorithm and novel wavelet energy based weighted PRDs (WEWPRDs) criterion outperforms PRD and wavelet based weightedPRD (WWPRD) measurement criteria based schemes.
Journal ArticleDOI
A GA-based quantisation design scheme for ECG data compression with linear distortion control
TL;DR: A systematic approach that combines a Genetic Algorithm and Three-Dimensional curvefitting technology to form a cascaded design process for wavelet-based quantisation scheme design and can obtain linear distortion characteristic with high compression performance being kept.
Proceedings ArticleDOI
Real-time DWT-based compression for wearable Electrocardiogram monitoring system
TL;DR: An effective real-time compression scheme to overcome the limitation of payload size of the transmission channel is introduced and shows that a small block of 64, 128 or 256 samples will not affect the compression performance and no distortion occurred on the reconstructed signal.
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.
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.