Identification of Velcro rales based on Hilbert-Huang transform
Identification of Velcro rales based on Hilbert-Huang transform
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DOI：
10.1016/j.physa.2014.01.018
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发表时间：
2014-05-01
影响因子：
3.3
通讯作者：
Fang, Jing
中科院分区：
文献类型：
--
作者：
Chen, Xue;Shao, Jie;Fang, Jing
Velcro罗音是一种对肺纤维化有相对特异性的湿罗音，通常是间质性肺病（ILD）的第一个临床线索。提出了一种基于Hilbert-Huang变换（HHT）的Velcro罗音自动分析工具。特别是，HHT被用来提取的能量权重在不同的频带（EWFB）的爆裂声，并计算在吸气后期爆裂声的部分。支持向量机（SVM）的基础上的HHT衍生的措施被用来区分维可牢罗音从其他爆裂音。我们发现Velcro罗音和其他爆裂音的提取参数，包括EW 75 -200，EW 500 -1000和吸气后期出现的爆裂音的比例有显著差异。从SVM获得的判别结果达到一致率高达92.20% +/- 1.80%，由有经验的医生的诊断证实。该方法在提高听诊的灵敏度和准确性以及实现ILD的自动诊断方面具有潜在的应用价值。(C)2014爱思唯尔有限公司版权所有。
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.