A recurrent fuzzy filter for the analysis of lung sounds

  • Authors:
  • Paris A. Mastorocostas

  • Affiliations:
  • Department of Informatics and Communications, Technological Educational Institute of Serres, Serres 62124, Greece

  • Venue:
  • Fuzzy Sets and Systems
  • Year:
  • 2006

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Abstract

This paper presents a recurrent fuzzy-neural filter for real-time 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 a 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.