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学科主题: 临床医学
题名:
Identification of Velcro rales based on Hilbert-Huang transform
作者: Chen, Xue1; Shao, Jie2; Long, Yingjiao3; Que, Chengli3; Zhang, Jue1,2; Fang, Jing1,2
关键词: Velcro rales ; Interstitial lung disease ; Crackles ; Hilbert-Huang transform ; Support vector machine
刊名: PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
发表日期: 2014-05-01
DOI: 10.1016/j.physa.2014.01.018
卷: 401, 页:34-44
收录类别: SCI
文章类型: Article
WOS标题词: Science & Technology
类目[WOS]: Physics, Multidisciplinary
研究领域[WOS]: Physics
关键词[WOS]: LUNG SOUND CRACKLES ; EXPANDED WAVE-FORM ; FIBROSING ALVEOLITIS ; HEART-FAILURE ; TIME-SERIES ; HHT ; MECHANISM ; SPECTRUM ; FFT
英文摘要:

Velcro rales, as a kind of crackles, are relatively specific for lung fibrosis and usually the first clinical clue of interstitial lung disease (ILD). We proposed an automatic analytic tool based on Hilbert-Huang transform (HHT) for the computerized identification of Velcro rales. In particular, HHT was utilized to extract the energy weight in various frequency bands (EWFB) of crackles and to calculate the portion of crackles during late inspiration. Support vector machine (SVM) based on the HHT-derived measures was used to differentiate Velcro rales from other crackles. We found that there were significant differences in the extracted parameters between Velcro rales and other crackles, including EW75-200, EW500-1000 and the proportion of crackles that appeared during the late inspiration. The discrimination results obtained from SVM achieved a concordance rate up to 92.20% +/- 1.80% as confirmed by the diagnosis from experienced physicians. For practical purpose, the proposed approach may have potential applications to improve the sensitivity and accuracy of auscultation and conduct automatic ILD diagnose system. (C) 2014 Elsevier B.V. All rights reserved.

语种: 英语
WOS记录号: WOS:000333504200005
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.bjmu.edu.cn/handle/400002259/67453
Appears in Collections:北京大学第一临床医学院_期刊论文

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作者单位: 1.Peking Univ, Adv Acad Interdisciplinary Studies, Beijing 100871, Peoples R China
2.Peking Univ, Coll Engn, Beijing 100871, Peoples R China
3.Peking Univ, Dept Pulm, Hosp 1, Beijing 100034, Peoples R China

Recommended Citation:
Chen, Xue,Shao, Jie,Long, Yingjiao,et al. Identification of Velcro rales based on Hilbert-Huang transform[J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,2014,401:34-44.
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