Chia Nan University of Pharmacy & Science Institutional Repository:Item 310902800/27841
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    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

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