一种基于Zipf定律的医学声信号分析方法

E. Dellandréa, P. Makris, N. Vincent, M. Boiron
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引用次数: 8

摘要

本文提出了一种医学信号分析方法,旨在以无创伤和无创的方式研究食管下括约肌的行为。这在胃食管反流现象中起着重要作用。与传统的信号处理方法相比,该方法效率更高,更适合我们的问题。它具有双重独创性。第一个是基于时频表示的音频信号编码,并允许提取组成文本的一组有序单词。第二个是使用齐夫定律作为分析工具。从Zipf定律观察中获得的参数允许人们自动检测和表征感兴趣的信号区域,这些信号区域是与剑状声音相对应的周期(当少量重晶石穿过下食管括约肌时产生)。因此,结果允许一个评估括约肌的能力,这是一个宝贵的帮助专家。
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A medical acoustic signal analysis method based on Zipf law
We present in this paper a medical signal analysis method that we have developed in order to study, in an atraumatic and non-invasive way, the inferior oesophageal sphincter behaviour. This one plays an important part in the gastro-oesophageal reflux phenomenon. The proposed method is more efficient and is better suited to our problem than traditional signal processing methods that did not give good results. It has a double originality. The first one lies on the audio signal coding, based on its time-frequency representation, and allowing the extraction of a set of ordered words that makes up a text. The second one lies on the use of the Zipf law as an analysis tool. The parameters obtained from the Zipf law observation allow one to automatically detect and characterize signal regions of interest, which are periods corresponding to xiphoidal sounds (produced when a bolus, a small quantity of baryte, crosses the inferior oesophageal sphincter). Thus, the results permit one to evaluate the sphincter capability, which is a precious help for specialists.
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