Journal ArticleDOI
Wavelet and wavelet packet compression of electrocardiograms
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TLDR
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.Abstract:
Wavelets and wavelet packets have recently emerged as powerful tools for signal compression. Wavelet and wavelet packet-based compression algorithms based on embedded zerotree wavelet (EZW) coding are developed for electrocardiogram (ECG) signals, and eight different wavelets are evaluated for their ability to compress Holter ECG data. 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 ECG's are clinically useful.read more
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Wavelets on graphs via spectral graph theory
TL;DR: A novel method for constructing wavelet transforms of functions defined on the vertices of an arbitrary finite weighted graph using the spectral decomposition of the discrete graph Laplacian L, based on defining scaling using the graph analogue of the Fourier domain.
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Wavelets on Graphs via Spectral Graph Theory
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Amir M. Rahmani,Tuan Nguyen Gia,Behailu Negash,Arman Anzanpour,Iman Azimi,Mingzhe Jiang,Pasi Liljeberg +6 more
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Compressed Sensing for Real-Time Energy-Efficient ECG Compression on Wireless Body Sensor Nodes
TL;DR: This paper quantifies the potential of the emerging compressed sensing (CS) signal acquisition/compression paradigm for low-complexity energy-efficient ECG compression on the state-of-the-art Shimmer WBSN mote and shows that CS represents a competitive alternative to state- of- the-art digital wavelet transform (DWT)-basedECG compression solutions in the context of WBSn-based ECG monitoring systems.
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Recommendations for the Standardization and Interpretation of the Electrocardiogram
Paul Kligfield,Leonard S. Gettes,James J. Bailey,Rory Childers,Barbara J. Deal,E. William Hancock,Gerard van Herpen,Jan A. Kors,Peter W. Macfarlane,David M. Mirvis,Olle Pahlm,Pentti M. Rautaharju,Galen S. Wagner +12 more
TL;DR: This statement examines the relation of the resting ECG to its technology to establish standards that will improve the accuracy and usefulness of the ECG in practice and to recommend recommendations for ECG standards.
References
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Proceedings ArticleDOI
Evaluation of the 'TRIM' ECG data compressor
TL;DR: It is concluded that TRIM, when adjusted to produce a mean output rate of 200 bits per channel per second, does not measurably influence the accuracy of clinicians' diagnoses with respect to cardiac rhythm or conduction.
Journal ArticleDOI
A Wavelet Auditory Model and Data Compression
John J. Benedetto,Anthony Teolis +1 more
TL;DR: In this paper, a time-scale representation of (acoustic) signals, motivated by the structure of the mammalian auditory system, is presented, and a theoretical framework is developed in which an iterative algorithm for reconstruction is constructed.
Journal Article
Multiwave: A Wavelet-Based ECG Data Compression Algorithm
TL;DR: In this article, the multiresolution wavelet technique is used for decomposing ECG signals into coarse and successively more detailed components, and the data are convolved with appropriate filters and then the alternate samples are discarded.