Heart rate variability analyzed by computer science

Computer science is being used in medical applications with very good results. In this work, artificial neural networks are as intelligent techniques that allow analyzing the heart rate variable to anticipate changes autonomic nervous system, which seeks maintain homeostasis of organism and execution adaptive responses environmental changes. This clinical examination has been little explored, we want contribute work correct ectopic beats artifacts detected an electrocardiographic signal for precise calculation variability. The reverse propagation algorithm used. beat detection correction program validated based on sensitivity, specificity, accuracy ectopias detection. A sample 40 electrocardiogram signals taken using training testing. With proposed method, 82.34%, a sensitivity 89.22% specificity 95.78%.