Support system for Apnea diagnosis using statistical analysis of ECG signals

Resumo

The advancement of technology has given researchers and doctors the possibility to detect abnormalities
in the human body, before they become serious and irreversible diseases. The Electrocardiogram (ECG), which is
an exam whose output value reveals the behavior and heart rate of an individual, is of fundamental importance for
the analysis not only of the health of the heart, but of the individual as a whole. This article proposes to do the
classificatory analysis of ECG data, using healthy databases and apnea. The methods used to separate the two
groups into healthy and apnea groups were the mean, variance and kurtosis. The results achieved by the proposed
methods obtained accuracy greater than 90%. These results can be used in clinical practice to support the diagnosis,
that is, the proposed method has the potential use as a screening method and aid to the diagnosis and monitoring
of cardiac pathologies.