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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Dissertation
ECG compression using rule based thresholding of wavelet coefficients
TL;DR: The proposed algorithm provides improved performance in terms of computational efficiency and compression rate where the clinically significant features in the reconstructed ECG signal are preserved and yields to good results in comparison with other wavelet transform based compression methods described in the literature.
Proceedings ArticleDOI
Electrocardiogram Compression Technique Using DWT-Based Residue Encoder with Desired Reconstruction Quality
TL;DR: A new compression technique which exploits the high correlations between the consecutive beats of an Electrocardiogram (ECG) and subjected to compression using Discrete Wavelet Transform (DWT).
Proceedings ArticleDOI
Towards distributed real-time physiological processing in mobile environments
TL;DR: This paper proposes a system that is designed to monitor, analyse and report physiological data in real-time by leveraging mobile devices as distributed processors.
Journal ArticleDOI
An adaptive signal compression system with pre-specified reconstruction quality and compression rate.
M. Borahan Tümer,Mert C. Demir +1 more
TL;DR: In this article, an adaptive signal compression system (ACS) is presented which defines the performance of the system as a function of system complexity, system sensitivity, and data size.
Proceedings ArticleDOI
A time-frequency adaptive signal model-based approach for parametric ECG compression
TL;DR: The paper presents a novel coding scheme for ECG signals based on time- frequencies atomic signal representations based on over-complete dictionaries of time-frequency atoms derived using the matching pursuit algorithm.
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.