Abou-Chadi F E, Ezzat F A, Abdel-Razzak M M, Sif el-Din A A
Department of Communications, Faculty of Engineering, Mansoura University, Egypt.
Front Med Biol Eng. 1994;6(1):51-62.
The features of the esophageal contractile activity recorded during swallowing have been investigated using a signal-processing approach. Data of a 10 min recording taken from 10 normal subjects have been examined. The final features of each peristaltic wave are a set of parameters comprising the locations and magnitudes of the local wavelets contributing to the peristaltic. The approach is based on an inverse filtering technique. The inverse filter, designed with a knowledge of an average peristaltic profile formed by coherent averaging of many peristaltic examples aligned to their maxima, is used to refine the process of locating the local wavelets. It is shown that the inferred wavelet structure offers a good basis for modelling the different peristaltics, and that it suggests new parameters for esophageal characterization and classification procedures.
已采用信号处理方法研究了吞咽过程中记录的食管收缩活动特征。对从10名正常受试者获取的10分钟记录数据进行了检查。每个蠕动波的最终特征是一组参数，包括对蠕动有贡献的局部小波的位置和幅度。该方法基于逆滤波技术。逆滤波器是根据由许多对齐到其最大值的蠕动示例的相干平均形成的平均蠕动轮廓知识设计的，用于完善定位局部小波的过程。结果表明，推断出的小波结构为不同蠕动的建模提供了良好基础，并且为食管特征描述和分类程序提出了新参数。
