Electrocardiographic signal analysis using genetic algorithms (GAs)

This work proposes a method for analysis of high resolution electrocardiographic signals (HRECG) based on interpretation of polar coordinate maps (PCM), which are generated using polynomial approximations obtained through genetic algorithms (GAs). Therefore, a polynomial can be obtained through GAs that transform a cardiac signal (of a particular patient) in a regular form, which is considered the "original trace" of the patient. Many diseases (i.e. Mal de Chagas), produce alterations on the HRECG signal. This changes can be detected using the polynomial obtained and comparing the "new trace" with the original trace.