基于倒频谱分析的肺声信号研究

Benjin Wang, L. Miao, H. Dong, Zeguang Zheng
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引用次数: 8

摘要

本文提出了一种新的信号处理方法,用于分析四种典型的肺声信号(气管呼吸音、囊泡呼吸音、吸气和呼气喘鸣、喘鸣)。首先,重点研究了肺部疾病声源数的估计方法。其次,我们准确地计算了每个声源信号的时间间隔。最后,我们将延迟时间和声源数量作为特征,研究了各病理性肺声与特征之间的关系。本文的创新之处在于将倒谱分析作为一种新的思路来研究肺部疾病的病理诊断。
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The Research of Lung Sound Signals Based on Cepstrum Analysis
In this paper, we proposed a new method of signal processing techniques for the application of analyzing four typical lung-sound signals (tracheal breath sounds, vesicular breath sounds, inspiratory and expiratory stridor, and stridor). First, we focus on the estimation method of the sound source number in a lung disease. Second, we calculate the time interval of each sound source signal accurately. Finally, we put the delay time and the number of sound sources as the characteristics, and study the relationships between each pathological lung sound and the characteristics. The innovation of this paper is that utilizing the cepstrum analysis as a new idea to study the pathological diagnosis of lung diseases.
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