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呼吸音分析:现状

Analysis of respiratory sounds: state of the art.

作者信息

Reichert Sandra, Gass Raymond, Brandt Christian, Andrès Emmanuel

机构信息

Ph.D., e-health UTBM student, Alcatel-Lucent, Chief Technical Office, Strasbourg, France.

出版信息

Clin Med Circ Respirat Pulm Med. 2008 May 16;2:45-58. doi: 10.4137/ccrpm.s530.

Abstract

OBJECTIVE

This paper describes state of the art, scientific publications and ongoing research related to the methods of analysis of respiratory sounds.

METHODS AND MATERIAL

Review of the current medical and technological literature using Pubmed and personal experience.

RESULTS

The study includes a description of the various techniques that are being used to collect auscultation sounds, a physical description of known pathologic sounds for which automatic detection tools were developed. Modern tools are based on artificial intelligence and on technics such as artificial neural networks, fuzzy systems, and genetic algorithms…

CONCLUSION

The next step will consist in finding new markers so as to increase the efficiency of decision aid algorithms and tools.

摘要

目的

本文描述了与呼吸音分析方法相关的技术现状、科学出版物及正在进行的研究。

方法与材料

通过使用PubMed检索当前医学和技术文献并结合个人经验。

结果

该研究包括对用于收集听诊声音的各种技术的描述,以及对已开发出自动检测工具的已知病理性声音的物理描述。现代工具基于人工智能以及人工神经网络、模糊系统和遗传算法等技术……

结论

下一步将在于寻找新的标志物,以提高辅助决策算法和工具的效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/388b/2990233/52ca51434a32/ccrpm-2008-045f1.jpg

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