Medical multivariate signal reconstruction using recurrent neural network

This work proposes a method for reconstruction of multivariate signals with missing parts of the data. The proposal consists in employing an artificial neural network (ANN), specifically recurrent multilayer perception (RMLP), to restore the missing intervals of the multivariate signals. In RMLP network, every neuron receives inputs from every other neuron in the network previous layer.