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一种用于从肺泡音中分离不连续附加音的动态模糊神经滤波器。

A dynamic fuzzy neural filter for separation of discontinuous adventitious sounds from vesicular sounds.

作者信息

Mastorocostas Paris A, Theocharis John B

机构信息

Department of Informatics and Communications, Technological and Educational Institute of Serres, 62124 Serres, Greece.

出版信息

Comput Biol Med. 2007 Jan;37(1):60-9. doi: 10.1016/j.compbiomed.2005.10.006. Epub 2005 Dec 7.

DOI:10.1016/j.compbiomed.2005.10.006
PMID:16337620
Abstract

This paper presents a recurrent filter that performs real-time separation of discontinuous adventitious sounds from vesicular sounds. The filter uses two Dynamic Fuzzy Neural Networks, operating in parallel, to perform the task of separation of the lung sounds, obtained from patients with pulmonary pathology. Extensive experimental results, including fine/coarse crackles and squawks, are given, and a performance comparison with a series of other models is conducted, underlining the separation capabilities of the proposed filter and its improved performance with respect to its competing rivals.

摘要

本文提出了一种循环滤波器,可实时分离来自肺泡音的间断性附加音。该滤波器使用两个并行运行的动态模糊神经网络,来完成从患有肺部疾病的患者获取的肺音分离任务。给出了包括细/粗湿啰音和哮鸣音在内的大量实验结果,并与一系列其他模型进行了性能比较,突出了所提出滤波器的分离能力及其相对于竞争对手的性能提升。

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