Signal Classification using Neural Network

hi! I collected signals from 5 sensors for each event. These events can be divided into 3 macro-groups (A, B, C)

Is it possible to create a Classification Neural Network to which the 5 signals of the new event are input and the group is the output?

I'm looking at the "Machine Learning with Matlab" course but all the classification examples(medical and wine classifications) use predictors that are single values, I should use a signals as predictors.

Someone can help me?