The continuous Hermite functions have been used for continuous signal approximations for some time. Vectors called discrete Hermite functions are presented in this paper that model digital signals in a similar way, often with excellent compression capabilities. When used in conjunction with ANNs (artifical neural networks) Hermite founctions can effectively reduce computational load and provides faster classification. In this work we purpose a method for classification of ECG signals using Hermite basis functions.