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Automated breath sound analysis

机译:自动呼吸声分析

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摘要

A new approach to analyzing breath sounds is presented. Detailed spectral information of breath sounds was used to investigate the possible relation between lung sound and airways obstruction. Tracheal sound recordings were obtained from two subjects during three sessions of allergen induced airways obstruction. The results of I-nearest neighbour classification clearly demonstrated a relation between lung sound and lung function (FEV/sub 1/), within the individual subject. Subjects were breathing normally and no air-flow information was used. The possibility of sound observation during normal breathing would provide a valuable diagnostic tool. From these preliminary results it may be carefully stated that "automated stethoscopy", tracking the onset of airways obstruction by means of computer aided sound analysis, has become more feasible.
机译:提出了一种分析呼吸声的新方法。呼吸声的详细光谱信息用于研究肺部声音和气道阻塞之间的可能关系。在过敏原诱导的气道阻塞的三次会议期间,从两个受试者获得气管录音。 I-最近邻分类的结果清楚地证明了各个主题内的肺部和肺功能(FEV / SUB 1 /)之间的关系。受试者正常呼吸,并且没有使用流量信息。正常呼吸期间声音观察的可能性将提供有价值的诊断工具。从这些初步结果来看,可以仔细说明“自动听诊镜检查”,通过计算机辅助声音分析跟踪气道阻塞的发作,已经变得更加可行。

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