Journal ArticleDOI
ECG Parametric Modeling Based on Signal Dependent Orthogonal Transform
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TLDR
The proposed parametric modeling technique for the electrocardiogram (ECG) signal based on signal dependent orthogonal transform involves the mapping of the ECG heartbeats into the singular values (SV) domain using the left singular vectors matrix of the impulse response Matrix of the LPC filter.Abstract:
In this letter, we propose a parametric modeling technique for the electrocardiogram (ECG) signal based on signal dependent orthogonal transform. The technique involves the mapping of the ECG heartbeats into the singular values (SV) domain using the left singular vectors matrix of the impulse response matrix of the LPC filter. The resulting spectral coefficients vector would be concentrated, leading to an approximation to a sum of exponentially damped sinusoids (EDS). A two-stage procedure is then used to estimate the model parameters. The Prony's method is first employed to obtain initial estimates of the model, while the Levenberg-Marquardt (LM) method is then applied to solve the non-linear least-square optimization problem. The ECG signal is reconstructed using the EDS parameters and the linear prediction coefficients via the inverse transform. The merit of the proposed modeling technique is illustrated on the clinical data collected from the MIT-BIH database including all the arrhythmias classes that are recommended by the Association for the Advancement of Medical Instrumentation (AAMI). For all the tested ECG heartbeats, the average values of the percent root mean square difference (PRDs) between the actual and the reconstructed signals were relatively low, varying between a minimum of 3.1545% for Premature Ventricular Contractions (PVC) class and a maximum of 10.8152% for Nodal Escape (NE) class.read more
Citations
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ECG Authentication System Design Based on Signal Analysis in Mobile and Wearable Devices
TL;DR: The use of cross correlation of the templates extracted during the registration and authentication stages can reduce the time required to achieve the target false acceptance rate (FAR) and false rejection rate (FRR).
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Mohammed Al Disi,Hamza Djelouat,Christos Kotroni,Elena Politis,Abbes Amira,Faycal Bensaali,George Dimitrakopoulos,Guillaume Alinier +7 more
TL;DR: Results show that both the orthogonal matching pursuit and subspace pursuit reconstruction algorithms can be executed on the platform in real time and yield optimum performance on a single A15 core at minimum frequency.
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Cardiac Conduction Model for Generating 12 Lead ECG Signals With Realistic Heart Rate Dynamics
Mario A. Quiroz-Juárez,Omar Jiménez-Ramírez,Ruben Vazquez-Medina,Elena Ryzhii,Maxim Ryzhii,José L. Aragón +5 more
TL;DR: An extended heterogeneous oscillator model of cardiac conduction system for generation of realistic 12 lead ECG waveforms capable to simulate accurately realistic ECG characteristics including local pathological phenomena accounting for biophysical properties of the human heart.
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A Transform-Based Feature Extraction Approach for Motor Imagery Tasks Classification
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Detection of PVC in ECG signals using fractional linear prediction
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References
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Journal ArticleDOI
PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals.
Ary L. Goldberger,Luís A. Nunes Amaral,Leon Glass,Jeffrey M. Hausdorff,Plamen Ch. Ivanov,Roger G. Mark,Joseph E. Mietus,George B. Moody,Chung-Kang Peng,H. Eugene Stanley +9 more
TL;DR: The newly inaugurated Research Resource for Complex Physiologic Signals (RRSPS) as mentioned in this paper was created under the auspices of the National Center for Research Resources (NCR Resources).
Book
Digital spectral analysis : with applications
TL;DR: This new book provides a broad perspective of spectral estimation techniques and their implementation concerned with spectral estimation of discretespace sequences derived by sampling continuousspace signals.
Journal ArticleDOI
A dynamical model for generating synthetic electrocardiogram signals
TL;DR: A dynamical model based on three coupled ordinary differential equations is introduced which is capable of generating realistic synthetic electrocardiogram (ECG) signals and may be employed to assess biomedical signal processing techniques which are used to compute clinical statistics from the ECG.
Book
Advanced Methods And Tools for ECG Data Analysis
TL;DR: The ECG and Its Contaminants, Visualization Methods, Knowledge Management and Emerging Methods, and Supervised and Unsupervised Classification.
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.