Detecção do Complexo QRS Utilizando o Algoritmo de Pan & Tompkins Modificado

The use of computational methods for the detec- tion of diseases related to the heart, has become increasingly important, since these diseases are added the largest cause of death in the world. Segmentation algorithms and analysis of electrocardiogram signal (ECG) allows speed and accuracy in the diagnosis of these diseases. Pan & Tompkins have developed a recognition algorithm of QRS complexes in real time, evaluated according to the Database MIT-BIH arrhythmia database. In this paper we evaluated adjustments to the parameters of this algorithm and inserted thresholds to detect the QRS with less error. The algorithm is efficient in presenting an average error of 0.53 % while the original algorithm has an average error of 1.02 %