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    請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/102934


    題名: Rolling ball sifting algorithm for the augmented visual inspection of carotid bruit auscultation
    作者: 黃輝揚;Huang, Adam;Lee, Chung-Wei;Liu, Hon-Man
    貢獻者: 生醫理工學院生醫科學與工程學系
    關鍵詞: 639/166/985;692/4019;692/53/2421;Humanities and Social Sciences;multidisciplinary;Science
    日期: 2016-07-25
    上傳時間: 2026-04-23 11:20:25 (UTC+8)
    出版者: Nature Publishing Group;London: Nature Publishing Group UK
    摘要: 摘要: Carotid bruits are systolic sounds associated with turbulent blood flow through atherosclerotic stenosis in the neck. They are audible intermittent high-frequency (above 200 Hz) sounds mixed with background noise and transmitted low-frequency (below 100 Hz) heart sounds that wax and wane periodically. It is a nontrivial task to extract both bruits and heart sounds with high fidelity for further computer-aided auscultation and diagnosis. In this paper we propose a rolling ball sifting algorithm that is capable to filter signals with a sharper frequency selectivity mechanism in the time domain. By rolling two balls (one above and one below the signal) of a suitable radius, the balls are large enough to roll over bruits and yet small enough to ride on heart sound waveforms. The high-frequency bruits can then be extracted according to a tangibility criterion by using the local extrema touched by the balls. Similarly, the low-frequency heart sounds can be acquired by a larger radius. By visualizing the periodicity information of both the extracted heart sounds and bruits, the proposed visual inspection method can potentially improve carotid bruit diagnosis accuracy.
    其他題名: Sci Rep
    出版者: London: Nature Publishing Group UK
    出版日期: 2016-07-25
    出處: Scientific reports, 2016-07, Vol.6 (1), p.30179, Article 30179
    資源來源: Springer Nature Link Open Access Journals
    版權: The Author(s) 2016
    版權: Copyright © 2016, Macmillan Publishers Limited 2016 Macmillan Publishers Limited
    識別號: ISSN: 2045-2322
    識別號: EISSN: 2045-2322
    識別號: DOI: 10.1038/srep30179
    識別號: PMID: 27452722
    顯示於類別:[生醫科學與工程學系] 期刊論文

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