Ventricular hypertrophy predictor using electrocardiograms developed in commercial MATLAB software
DOI:
https://doi.org/10.35381/s.v.v5i1.1591Keywords:
Telecardiology, Cardiology Service, Hospital, statistics & numerical data. (Source, DeCS).Abstract
Objective: to evaluate the usefulness of MATLAB software as a predictor of ventricular cardiovascular pathologies, based on a mathematical algorithm with utility in public health. Method: Quasi-experimental. Results: The recognition is focused on the QT interval of the ECG horizontal axis, taking into account that this interval must be in a range of 0.35-0.45 s in order not to be pathological. Conclusion: MATLAB software is a basic tool for the development of this type of algorithms, since it minimizes the computational work and takes advantage of the accuracy of ECG graphs for a better medical diagnosis. The use of algorithms and use of equations already structured in consulted articles allowed analyzing the variation that occurs in the QT interval in a given time, being demonstrated that it can be used to diagnose pathologies related to bradycardia and other similar pathologies.
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