Description

We focus on the development of a privacy preserving automatic diagnosis system. We implement a new proposal to classify a biomedical signal provided by the user without getting any information about the signal. The classification strategy is carried out by, a supervised learning algorithm , Neural Networks (Back Propagation) It is used as a pattern recognition classifier. Signal enhancement is carried out by notch filter and its feature extraction is implemented using daubechies wavelet algorithm.