This work shows the development of a Differential Neural Network (DNN) applied to an online processing to signal from a 12-lead electrocardiograph. This system was divided in three stages: Acquisition of the ECG signal, design and tracking of the DNN. Firstly, a 12-lead electrocardiograph with a hybrid processing was constructed. Acquiring 8 leads with the USB DAQ-6009 and calculating the other four by programming. Then, based on the theory of Differential Neural Networks, the algorithm is developed, determining the values of the network by trial and error tests. To finally visualize the tracking of the network through our virtual instrument. The use of this technique is very common in the analysis of complex nonlinear dynamical systems in engineering and medicine areas, showed an excellent performance in the description of electrocardiographic biopotentials developed in this work.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.