Journal ArticleDOI
Segmentation of digital signals based on estimated compression ratio
A. Koski,Martti Juhola +1 more
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TLDR
The aim of the work has been to develop a method that can perform segmentation with an acceptable amount of residual error without a need to define a large set of parameters that control the segmentation process.Abstract:
The authors have studied the problem of approximating a digital signal with a suitable continuous broken line. They use the approximative broken line for further analysis of the signal as detection of peaks, waves, and other structural features. They can also save considerable amount of storage space with an approximation that does not lose too much significant information about the original signal. The authors' work is based on examining different distance metrics and different segmentation methods with respect to the remaining residual error in the resulting approximation. The aim of the work has been to develop a method that can perform segmentation with an acceptable amount of residual error without a need to define a large set of parameters that control the segmentation process. The authors' contribution is to examine the effect of the estimated compression ratio of the resulting approximation and finding an estimate of this compression ratio. They first define a target in the form of a compression ratio of the resulting approximation and then by applying their method, try to find a suitable threshold parameter to achieve this target. The authors have tested their method with electrocardiogram (EGG) signals and the compression ratio of the approximation has been found to be a suitable target to control the segmentation process.read more
Citations
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Journal ArticleDOI
Dynamic time warping and machine learning for signal quality assessment of pulsatile signals
Qiao Li,Qiao Li,Gari D. Clifford +2 more
TL;DR: This work introduces dynamic time warping to stretch each beat to match a running template and combines it with several other features related to signal quality, including correlation and the percentage of the beat that appeared to be clipped to assess the clinical utility of PPG traces.
Journal ArticleDOI
Modelling ECG signals with hidden Markov models
TL;DR: It is found that hidden Markov models are very suitable for ECG recognition and analysis problems and that they are able to model accurately segmented ECG signals.
Proceedings ArticleDOI
Automated ECG segmentation with dynamic time warping
TL;DR: A new single-lead method based on dynamic time warping (DTW) is presented, which produces a smaller mean error, but has a higher standard deviation than Laguna et al.'s (1997) two- lead method.
Journal ArticleDOI
Lossless ECG encoding.
TL;DR: This work has examined various methods and developed a new approach based on structural recognition and extraction of ECG complexes which is able to restore the original signal exactly and is drawn from the compression efficiency of lossless and lossy methods.
Book ChapterDOI
ECG Signal Compression Using Different Techniques
TL;DR: When compared, Discrete Cosine Transform and Fast Fourier Transform give better compression ratio, while Discrete Wavelet Transform yields good fidelity parameters with comparable compression ratio.
References
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Book
Digital Filters
TL;DR: In this chapter,sequency as a generalized frequency is introduced, and the frequency is used as a parameter to distinguish individual functions that belong to sets of nonsinusoidal functions.
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
Segmentation of Plane Curves
TL;DR: A new fast algorithm is proposed which allows for a variable number of segments iniecewise approximation as a way of feature extraction, data compaction, and noise filtering of boundaries of regions of pictures and waveforms.
Journal ArticleDOI
Fast polygonal approximation of digitized curves
Jack Sklansky,Víctor M. González +1 more
TL;DR: A new technique for fast “scan-along” computation of piecewise linear approximations of digital curves in 2-space is described and the application to the boundaries of the images of a lung and a rib in chest radiographs is illustrated.
Journal ArticleDOI
Syntactic recognition of ECG signals by attributed finite automata
TL;DR: A syntactic pattern recognition method of electrocardiograms (ECG) is described in which attributed automata are used to execute the analysis of ECG signals.
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