An automatic acknowledgment technique by electrocardiography based on back-propagation algorithm neural network is brought around. The optimum backpropagation neural network version was picked to check the proper recognition prices of electrocardiography signals. As a result, the ideal backpropagation neural network model offers a secure precision of over 99% in right acknowledgment of electrocardiography signals with the prevalence over assistance vector machine as well as convolutional neural network, substantially boosting the appropriate recognition price of kind 5 electrocardiography signals.