Self organizing neural network approach for identification of patients with Congestive Heart Failure

A new technique for identification of patients with Congestive Heart Failure (CHF) from normal controls is investigated in this paper using spectral analysis and neural networks. The data used in this work is obtained from Massachusetts Institute of Technology (MIT) databases. A data set of 17 CHF and 53 normal subjects is used as original learning data set. A larger learning data set, which is obtained by simulating 1000 CHF and 1000 normal subjects according to the spectral features obtained from the original learning data, is used by the self organizing neural network.