呼吸音分析:最新技术。

Sandra Reichert, Raymond Gass, Christian Brandt, Emmanuel Andrès
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摘要

目的本文介绍了与呼吸音分析方法有关的最新技术、科学出版物和正在进行的研究:方法和材料:利用 Pubmed 和个人经验查阅当前的医学和技术文献:研究内容包括对目前用于收集听诊声音的各种技术的描述,对已知病理声音的物理描述,并为此开发了自动检测工具。现代工具基于人工智能和技术,如人工神经网络、模糊系统和遗传算法......结论:下一步将是寻找新的标记,以提高决策辅助算法和工具的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Analysis of respiratory sounds: state of the art.

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.

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