Use of unsupervised neural networks for classification of blood pressure time series

This paper describes a method to classify blood pressure time profiles using artificial neural network with unsupervised learning. Kohonen's Topology Preserving Maps were used to identify similar characteristics in 100 profiles from different subjects. Afterwards, obtained results were validated using another group of 142 blood pressure profiles.