Cardiovascular diseases, in particular Acute Myocardial Infarction (AMI) are the first cause of death in industrialized countries. Measurements of indicators of the behavior of the autonomic nervous system, such as the Heart Rate Variability (HRV) and the QT Interval Dispersion (QTD) in the acute phase of the AMI (first 48 hours after the event) give a good estimation of the subsequent cardiac events that could present a person who had suffered an AMI.
This paper describes the implementation of the second version of Prognostic-AMI, a software tool that automate the calculation of such indicators. It uses the Discrete Wavelet Transform (DWT) to de-noise the signals an to detect the QRS complex and the T-wave from a conventional electrocardiogram of 12 leads. Indicators are measured in both time and frequency domain. A pilot trial performed on a sample population of 76 patients shows that people who had had cardiac complications in the acute phase of the AMI have low values in the indicators of HRV and QTD.