The role of neural networks in biosignals classification

Abstract

The neural networks (NNs) are regularly employed in biosignal processing because of their effectiveness as pattern classifiers. This study presents an overview of the application of neural networks in the field of biosignal classification (especially in anomaly detection problems), and, in addition, results of adaptations of conventional neural classifiers are presented. Statistical techniques based on pattern recognition analysis (like Principal Components Analysis and Clustering) might be use to evaluate the proposed methodology. Finally we will illustrate advantages and drawbacks of neural systems in biosignal analysis and catch a glimpse of forthcoming developments in machine learning models for the real clinical environment. © 2008 Springer-Verlag Berlin Heidelberg.