This paper presents a dynamic fuzzy filter, with internal feedback, that performs the task of separation of lung sounds, obtained from patients with pulmonary pathology. The filter is a novel generalized TSK fuzzy model, where the consequent parts of the fuzzy rules are Block-Diagonal Recurrent Neural Networks. Extensive experimental results, regarding the lung sound category of coarse crackles, are given, and a performance comparison with a series of other fuzzy and neural filters is conducted, underlining the separation capabilities of the proposed filter. © 2007 Springer.
CITATION STYLE
Mastorocostas, P. A., Varsamis, D. N., Mastorocostas, C. A., & Hilas, C. S. (2007). A dynamic fuzzy model for processing lung sounds. In Advances and Innovations in Systems, Computing Sciences and Software Engineering (pp. 357–362). https://doi.org/10.1007/978-1-4020-6264-3_62
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