Operation Study and Recognition of the Heart Function via Heartbeats using LabView Programming

This paper presents the function of the human heart by analyzing its heartbeats. We study the produced cardiac electrical signals and how they are reflected in the Electrocardiogram (ECG) signal. ECG signals are the most common way to evaluate the heart state and recognize what type of arrythmia may occur. In this paper, we introduce Zeeman's non-linear, second order mathematical model which describes the general heartbeat behavior of the human heart and generates artificial ECG signals. One of the challenges is to implement a LabVIEW program which extracts real-time ECG signals from real people. Finally, program results are taken into consideration in order to draw a conclusion about the cardiac health of those who conducted the experiment.