Centre de Recherche en Automatique de Nancy, Nancy Université-Centre National de la Recherche Scientifique, Nancy F-54516, France.
IEEE Trans Biomed Eng. 2010 Jun;57(6):1507-19. doi: 10.1109/TBME.2010.2040081. Epub 2010 Feb 17.
This paper introduces a complete methodology for abdominal sounds analysis, from signal acquisition to statistical data analysis. The goal is to evaluate if and how phonoenterograms can be used to detect different functioning modes of the normal gastrointestinal tract, both in terms of localization and of time evolution during the digestion. After the description of the acquisition protocol and the employed instrumentation, several signal processing steps are presented: wavelet denoising and segmentation, artifact suppression, and source localization. Next, several physiological features are extracted from the processed signals issued from a database of 14 healthy volunteers, recorded during 3 h after a standardized meal. Data analysis is performed using a multifactorial statistical method. Based on the introduced approach, we show that the abdominal regions of healthy volunteers present statistically significant phonoenterographic characteristics, which evolve differently during the normal digestion. The most significant feature allowing us to distinguish regions and time differences is the number of recorded sounds, but important information is also carried by sound amplitudes, frequencies, and durations. Depending on the considered feature, the sounds produced by different abdominal regions (especially stomach, ileocaecal, and lower abdomen regions) present a specific distribution over space and time. This information, statistically validated, is usable in further studies as a comparison term with other normal or pathological conditions.
本文介绍了一种完整的腹部声音分析方法，从信号采集到统计数据分析。目的是评估肠鸣音是否以及如何用于检测正常胃肠道的不同功能模式，无论是在定位方面还是在消化过程中的时间演变方面。在描述采集协议和使用的仪器之后，提出了几个信号处理步骤：小波去噪和分段、伪迹抑制和源定位。接下来，从 14 名健康志愿者的数据库中提取了几个生理特征，这些志愿者在标准化餐后 3 小时内进行了记录。使用多因素统计方法进行数据分析。基于所提出的方法，我们表明健康志愿者的腹部区域呈现出具有统计学意义的肠鸣音特征，这些特征在正常消化过程中表现出不同的演变。能够区分区域和时间差异的最显著特征是记录的声音数量，但声音幅度、频率和持续时间也携带重要信息。根据所考虑的特征，不同腹部区域（特别是胃、回盲部和下腹部区域）产生的声音在空间和时间上呈现出特定的分布。这种经过统计验证的信息可在进一步的研究中用作与其他正常或病理条件进行比较的术语。
