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Lempel–Ziv complexity and Shannon entropy-based support vector clustering of ECG signals
(Universidad de Carabobo, 2015-04)
This work presents a Support Vector Machine (SVM)-based clustering method to cluster normal and pathological ECG signals on a Lempel-Ziv (LZ) complexity and Shannon entropy (SE) space. One normal ECG and three ECG signals ...
A Conversion Algorithm for ECG signals on a 2D array based on Digital Signal Processing
(Institute of Electrical and Electronics Engineers Inc., 2022-01-01)
This work proposes a computational algorithm to convert digital files containing electrocardiogram (ECG) information into 1D signals. Many medical databases have in storage files containing ECG information that is not easy ...
Electrocardiography in Wistar rat experimental model: analysis and characterization
(Sociedad Argentina de Bioingeniería, 2018)
The experimental model of Wistar rat (WR) is widely used by thescientific community for the evaluation of xenobiotics and environmentalstressors. However, in spite of its great use, few publications have explicitlyreported ...
Quantification of ventricular repolarization dispersion using digital processing of the surface ECG
(IntechOpen, 2011)
Digital processing of electrocardiographic records was one of the first applications of signal processing on medicine. There are many ways to analyze and study electrical cardiac activity using the surface electrocardiogram ...
Evaluation of Ventricular Repolarization Dispersion During Acute Myocardial Ischemia: Spatial and Temporal ECG indices
(Springer Heidelberg, 2014-01)
In this work, we studied the evolution of different electrocardiogram (ECG) indices of ventricular repolarization dispersion (VRD) during acute transmural myocardial ischemia in 95 patients undergoing percutaneous coronary ...
ECG arrhythmia classification based on optimum-path forest
(2013-07-01)
An important tool for the heart disease diagnosis is the analysis of electrocardiogram (ECG) signals, since the non-invasive nature and simplicity of the ECG exam. According to the application, ECG data analysis consists ...
ECG arrhythmia classification based on optimum-path forest
(2013-07-01)
An important tool for the heart disease diagnosis is the analysis of electrocardiogram (ECG) signals, since the non-invasive nature and simplicity of the ECG exam. According to the application, ECG data analysis consists ...