Enhancing Bowel Sounds by Using a Higher Order Statistics-Based Radial Basis Function Network

doi:10.1109/JBHI.2013.2244097

CNU IR > Pharmacy and Science > Dept. of Food & Drug Industry and Inspective Technology > Periodical Articles > Item 310902800/27841

Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/27841

Title:	Enhancing Bowel Sounds by Using a Higher Order Statistics-Based Radial Basis Function Network
Authors:	Lin, Bor-Shyh Sheu, Ming-Jen Chuang, Ching-Chin Tseng, Kuan-Chih Chen, Jen-Yin
Contributors:	醫藥化學系老人服務事業管理系
Keywords:	Bowel Sound Gaussian Noise Higher Order Statistics (Hos) Radial Basis Function (Rbf) Network
Date:	2013-05
Issue Date:	2014-05-26 10:45:51 (UTC+8)
Publisher:	Ieee-Inst Electrical Electronics Engineers Inc
Abstract:	Auscultation of bowel sounds provides a noninvasive method to the diagnosis of gastrointestinal motility diseases. However, bowel sounds can be easily contaminated by background noises, and the frequency band of bowel sounds is easily overlapped with background noise. Therefore, it is difficult to enhance the noisy bowel sounds by using precise digital filters. In this study, a higher order statistics (HOS)-based radial basis function (RBF) network was proposed to enhance noisy bowel sounds. An HOS technique provides the ability of suppressing Gaussian noises and symmetrically distributed non-Gaussian noises due to their natural tolerance. Therefore, the influence of additional noises on the HOS-based learning algorithm can be reduced effectively. The simulated and experimental results show that the HOS-based RBF can exactly provide better performance for enhancing bowel sounds under stationary and nonstationary Gaussian noises. Therefore, the HOS-based RBF can be considered as a good approach for enhancing noisy bowel sounds.
Relation:	Ieee Journal of Biomedical And Health Informatics, v.17 n.3 pp.675-680
Appears in Collections:	[Dept. of Food & Drug Industry and Inspective Technology] Periodical Articles [Dept. of Senior Service and Health Management] Periodical Articles

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	2233	View/Open

Loading...