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Combining neuro-fuzzy and chaos methods for intelligent time series analysis-case study of heart rate variability

The paper introduces a way of using chaos theory and a particular fuzzy neural network, called FuNN, for building adaptive, intelligent information systems. The use of the proposed connectionist-based methodology is illustrated through a biomedical application of heart rate variability (HRV) analysis. It is demonstrated that a multi-scale fractal analysis of HRV data can be used for characterisation and prediction of heart beat rhythms of patients with various cardiovascular disorders.