A dynamic fuzzy-neural filter for the analysis of lung sounds

This paper presents a recurrent fuzzy-neural filter for the separation of discontinuous adventitious sounds from vesicular sounds. The filter uses two dynamic neuron-based fuzzy neural networks to perform the task of separation. The networks are generated by the dynamic orthogonal least squares method and are applied to all kinds of lung sounds. Extensive experimental results are given and performance comparison with a series of other models is conducted, underlining the effectiveness of the proposed filter and its superior performance over its competing rivals.