標題: Enhancing Bowel Sounds by Using a Higher Order Statistics-Based Radial Basis Function Network
作者: Lin, Bor-Shyh
Sheu, Ming-Jen
Chuang, Ching-Chin
Tseng, Kuan-Chih
Chen, Jen-Yin
影像與生醫光電研究所
生醫電子轉譯研究中心
Institute of Imaging and Biomedical Photonics
Biomedical Electronics Translational Research Center
關鍵字: Bowel sound;Gaussian noise;higher order statistics (HOS);radial basis function (RBF) network
公開日期: 1-五月-2013
摘要: 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.
URI: http://dx.doi.org/10.1109/JBHI.2013.2244097
http://hdl.handle.net/11536/22372
ISSN: 2168-2194
DOI: 10.1109/JBHI.2013.2244097
期刊: IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
Volume: 17
Issue: 3
起始頁: 675
結束頁: 680
顯示於類別:期刊論文


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