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
Citations
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Journal ArticleDOI
Evolving a Bayesian classifier for ECG-based age classification in medical applications
TL;DR: The evolved Bayesian network performed better than both the one developed using the greedy algorithm and the naïve Bayesian classifier and can be used to evolve Bayesian networks in general thereby identifying the dependencies among the variables of interest.
Journal ArticleDOI
Wavelet-based low-delay ECG compression algorithm for continuous ECG transmission
TL;DR: A wavelet-based electrocardiogram (ECG) compression algorithm with a low delay property for instantaneous, continuous ECG transmission suitable for telecardiology applications over a wireless network is proposed.
Journal ArticleDOI
Mean-shape vector quantizer for ECG signal compression
TL;DR: A direct waveform mean-shape vector quantization (MSVQ) is proposed here as an alternative for electrocardiographic (ECG) signal compression, leading to high compression ratios (CRs) while maintaining a low level of waveform distortion and preserving the main clinically interesting features of the ECG signals.
Book ChapterDOI
Leveraging Fog Computing for Healthcare IoT
Behailu Negash,Tuan Nguyen Gia,Arman Anzanpour,Iman Azimi,Mingzhe Jiang,Tomi Westerlund,Amir M. Rahmani,Amir M. Rahmani,Pasi Liljeberg,Hannu Tenhunen +9 more
TL;DR: This chapter focuses on a smart e-health gateway implementation for use in the Fog computing layer, connecting a network of such gateways, both in home and in hospital use.
Journal ArticleDOI
On the use of PRD and CR parameters for ECG compression.
Manuel Blanco-Velasco,Fernando Cruz-Roldán,J. Ignacio Godino-Llorente,Joaquín Blanco-Velasco,Carlos Armiens-Aparicio,Francisco López-Ferreras +5 more
TL;DR: The objective of this work is to propose the joint use of several parameters, as simulations will show, effectiveness and performance of the ECG coder are evaluated with more precision, and the way of inferring conclusions from the obtained results is more reliable.
References
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TL;DR: In this paper, it is shown that the difference of information between the approximation of a signal at the resolutions 2/sup j+1/ and 2 /sup j/ (where j is an integer) can be extracted by decomposing this signal on a wavelet orthonormal basis of L/sup 2/(R/sup n/), the vector space of measurable, square-integrable n-dimensional functions.
Book
Ten lectures on wavelets
TL;DR: This paper presents a meta-analyses of the wavelet transforms of Coxeter’s inequality and its applications to multiresolutional analysis and orthonormal bases.
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Ten Lectures on Wavelets
TL;DR: In this article, the regularity of compactly supported wavelets and symmetry of wavelet bases are discussed. But the authors focus on the orthonormal bases of wavelets, rather than the continuous wavelet transform.
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 new, fast, and efficient image codec based on set partitioning in hierarchical trees
Amir Said,William A. Pearlman +1 more
TL;DR: The image coding results, calculated from actual file sizes and images reconstructed by the decoding algorithm, are either comparable to or surpass previous results obtained through much more sophisticated and computationally complex methods.