We propose a model to generate electrocardiogram signals based on a discretized reaction-
diffusion system to produce a set of three nonlinear oscillators that simulate the main …

A novel approach for analysing cardiac rhythm data is presented in this paper. Heartbeats
are decomposed into the five fundamental P, Q, R, S and T waves plus an error term to …

Although healthcare and medical technology have advanced significantly over the past few
decades, heart disease continues to be a major cause of mortality globally …

Mathematical models of cardiac electrical activity are one of the most important tools for
elucidating information about heart diagnostics. In this paper, we present an efficient …

In this work, we propose a versatile, low-cost, and tunable electronic device to generate
realistic electrocardiogram (ECG) waveforms, capable of simulating ECG of patients within a …

This paper characterizes the robust second-moment stability of stochastic linear systems
subject to varying delays. The delays assume a particular form suitable to represent packet …

In this paper, we present a high-performance, compact electrocardiogram (ECG)-based
system for automatic classification of arrhythmias, integrating machine learning approaches …

Arrhythmias are conditions characterized by a faster, slower, or irregular heart rhythm. Some
of them may be harmless and brief, but others can lead to sudden cardiac arrest. Thus …

Mathematical modeling is a powerful tool for describing, predicting, and understanding
complex phenomena exhibited by real-world systems. However, identifying the equations …

An electrocardiogram (ECG) is a signal that describes the heart's electrical activity. Signal
processing techniques are necessary to extract meaningful information from ECG signals …