Blind Equalization of Lung Crackle Sounds to Compensate Chest Attenuation
Blind Equalization of Lung Crackle Sounds to Compensate Chest Attenuation
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DOI：
10.1109/jbhi.2019.2944995
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发表时间：
2020-06
影响因子：
7.7
通讯作者：
Carlos G. Speranza;Daniel F Da Ponte;C. D. da Rocha;R. Moraes
中科院分区：
文献类型：
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作者：
Carlos G. Speranza;Daniel F Da Ponte;C. D. da Rocha;R. Moraes
胸腔内的肺产生通过胸腔传播的外来声音，到达可以听到或记录它们的表面。胸腔对肺音的衰减取决于每个患者的身体特征，妨碍了对所测量的定量指标的分析，以帮助诊断心肺疾病。本文提出了一种盲均衡器（特征向量算法-伊娃）的应用，以减少胸衰减对从爆裂声测量的指标的影响。使计算机模拟的爆裂声（在应用于志愿者的嘴部后在后胸壁上获得）和属于数据库的实际爆裂声相等。均化前后测定爆裂音的定量指标。通过对模拟噪声的测试结果进行比较，发现该均衡器由于衰减补偿和高斯噪声的去除，改善了均衡效果。定性评估均衡化对实际爆裂声测量指标的影响。结果指出，胸壁湿罗音的盲均衡可以为不同心肺疾病的诊断提供更为一致的定量指标。
Diseased lungs generate adventitious sounds that propagate through the thorax, reaching the surface where they may be heard or recorded. The attenuation imposed to the lung sounds by the thorax depends on the physical characteristics of each patient, hampering the analysis of quantitative indexes measured to assist the diagnosis of cardiorespiratory disorders. This work proposes the application of a blind equalizer (eigenvector algorithm - EVA) to reduce the effects of thorax attenuation on indexes measured from crackle sounds. Computer simulated crackles (acquired on the posterior chest wall after being applied to volunteer's mouth) and actual crackles belonging to a database were equalized. Quantitative indexes were measured from crackles before and after equalization. Comparison of indexes measured from simulated crackles reveals that the equalizer improves the results due to attenuation compensation and removal of Gaussian noise. Effects of equalization on indexes measured from actual crackles were qualitatively assessed. Results point out that blind equalization of crackles recorded on the thorax provides more consistent quantitative indexes to assist the diagnosis of different cardiorespiratory diseases.