Abou-Chadi F E, Ezzat F A, Gad-Elhak N, Sif el-Din A A
Department of Communications, Faculty of Engineering, Mansoura University, Egypt.
Ann Biomed Eng. 1993 Mar-Apr;21(2):117-24. doi: 10.1007/BF02367607.
For the esophageal contractile activity recorded during swallowing, a feature extraction scheme has been developed. It recognizes the time, duration, and amplitudes of local peaks for each peristaltic wave. The method is based on the Tauberian approximation for modeling waveforms as a sum of identically shaped pulses with different time delays and amplitudes. Initial conditions on the pulse properties are set and an optimal solution is sought. The method is completely automated and can be utilized for characterization and classification purposes.
针对吞咽过程中记录的食管收缩活动，已开发出一种特征提取方案。它可识别每个蠕动波的局部峰值的时间、持续时间和幅度。该方法基于陶伯近似法，将波形建模为具有不同时间延迟和幅度的相同形状脉冲的总和。设定了脉冲特性的初始条件并寻求最优解。该方法完全自动化，可用于特征描述和分类目的。
