Processing Human Colonic Pressure Signals by Using Overdetermined ICA

独立部件分析(集成通信适配器)是为瞎的来源分离( BSS )的一个广泛地使用的方法成熟集成通信适配器模型有的 .The 来源的数字必须等于到传感器的限制过去常收集数据，它是难的在很实际的 cases.In 相遇这份报纸，一个 overdetermined 集成通信适配器方法在人的结肠的压力 signals.Using 主管部件分析( PCA )的分析被建议并且成功地使用了，方法第一估计来源的数字并且减少

Independent component analysis （ICA） is a widely used method for blind source separation （BSS）. The mature ICA model has a restriction that the number of the sources must equal to that of the sensors used to collect data, which is hard to meet in most practical cases. In this paper, an overdetermined ICA method is proposed and successfully used in the analysis of human colonic pressure signals. Using principal component analysis （PCA）, the method estimates the number of the sources firstly and reduces the dimensions of the observed signals to the same with that of the sources; and then, Fast- ICA is used to estimate all the sources. From 26 groups of colonic pressure recordings, several colonic motor patterns are extracted, which riot only prove the effectiveness of this method, but also greatly facilitate further medical researches.