Advances in Acoustic Signal Processing Techniques for Enhanced Bowel Sound Analysis
Advances in Acoustic Signal Processing Techniques for Enhanced Bowel Sound Analysis
复制标题
用于增强型肠鸣音分析的声信号处理技术研究进展
DOI：
10.1109/rbme.2018.2874037
复制
发表时间：
2019-01-01
影响因子：
17.6
通讯作者：
Marshall, Barry James
中科院分区：
文献类型：
--
作者：
Allwood, Gary;Du, Xuhao;Marshall, Barry James
随着电子听诊器和其他类似的记录和数据记录设备的发明，声学信号处理概念和方法现在可以应用于肠鸣音。在本文中，有关文献的声学信号处理肠音分析进行了审查和讨论。本文概述了可用于肠鸣音分析的一些基本方法和机器学习原理。从历史的角度来看，在信号处理技术，使有用的信息，以获得肠鸣音的进展。该文件具体阐述了肠鸣音分析的进展，例如改进的降噪、分割、信号增强、特征提取、声音定位和机器学习技术。我们发现，结合新型机器学习方法和人工智能的先进声学信号处理可以更好地解释肠道发出的声学信息。
With the invention of the electronic stethoscope and other similar recording and data logging devices, acoustic signal processing concepts and methods can now be applied to bowel sounds. In this paper, the literature pertaining to acoustic signal processing for bowel sound analysis is reviewed and discussed. The paper outlines some of the fundamental approaches and machine learning principles that may be used in bowel sound analysis. The advances in signal processing techniques that have allowed useful information to be obtained from bowel sounds from a historical perspective are provided. The document specifically address the progress in bowel sound analysis, such as improved noise reduction, segmentation, signal enhancement, feature extraction, localization of sounds, and machine learning techniques. We have found that advanced acoustic signal processing incorporating novel machine learning methods and artificial intelligence can lead to better interpretation of acoustic information emanating from the bowel.