A new method to detect crackles in respiratory sounds.
A new method to detect crackles in respiratory sounds.
复制标题
一种检测呼吸音中爆裂声的新方法。
DOI：
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发表时间：
1998
影响因子：
1.6
通讯作者：
G. Pasquali
中科院分区：
文献类型：
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作者：
L. Vannuccini;M. Rossi;G. Pasquali
本文提出了一种自动检测和分析数字化呼吸音中爆裂音的方法。该方法基于两个步骤：（1）将阈值（T）应用于肺音的一阶导数绝对值（FDAV）以定位“感兴趣区”，以及（2）如果验证了某些条件，则在该区中检测到爆裂声。一阶导数（FD）通过导数平滑滤波器进行评估，保留信号的谱线下面积（零时刻）、其时间平均位置（一阶矩）和其谱线宽度（二阶矩）。验证步骤2的条件涉及以下内容：在时间窗口TW内FDAV的峰的数量和高度以及它们距裂纹起始点的距离。该方法作为自动检测器显示出良好的性能（灵敏度84%，特异性89%），并且是专门设计用于找到裂纹的起始点。
In this paper, an automatic method to detect and analyze crackles in digitised respiratory sounds is presented. The method is based on two steps: (1) a threshold (T) value is applied to the first derivative absolute value (FDAV) of lung sound to locate the "zone of interest" and (2) in this zone a crackle is detected if certain conditions are verified. The first derivative (FD) is evaluated by means of a derivative-smoothing filter, preserving areas under the spectral lines of the signal (moment zero), its mean position in time (first moment) and its spectral line width (second moment). The conditions to verify step 2 concern the following: the number and height of the peaks of FDAV and their distances from the starting point of the crackle, within a temporal window TW. This method shows good performances as an automatic detector (sensitivity 84% and specificity 89%), and is specifically designed to find the starting point of the crackle.