肺音智能识别的研究进展

Dongfang Wang, Baoquan Fang, Shili Liang, Shuangwei Wang
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引用次数: 3

摘要

本文介绍了肺的种类、特点、肺音信号的采集、处理和识别技术,基于计算机的肺音信号处理和模式识别技术,并对国内外的研究现状和各种肺音信号的研究方法进行了总结和综述。通过各种案例对基于机器学习的肺音分类技术近年来的发展情况进行了总结和列举;最后,对肺音分类技术和计算机识别技术的研究应用发展趋势进行了展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The research progress about the intelligent recognition of lung sounds
This paper introduced the characteristics of the species, lung of the lung sounds signal, acquisition, processing and identification technology, based on the computer's lung sound signal processing and pattern recognition technology, and the research status at home and abroad and a variety of approaches to the study of the lung sound signals are summarized and reviewed in this paper, through a variety of cases of lung sound classification technology based on machine learning in recent years are summarized and the development situation of list; Finally, the study of lung sound classification technology and computer identification technology application development trend is prospected.
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