title: Colonic pressure data processing based on independent component analysis.
abstract: The Colonic manometry is an important technique to evaluate human colonic motor functions, which are critical for doctors to understand the pathology of intestinal diseases like slow transit constipation (STC) and colonic inertia (CI). However, in the obtained pressure signals, several patterns of colonic motor activities as well as noises mixed together, which made it difficult to observe the information people really needed. In this article, a new method was proposed to extract patterns of colonic motility from the mixed signals, so that researchers could study them thoroughly. Colonic pressure recordings from 26 volunteers were obtained by the water-perfused manometry catheters. Then independent component analysis (ICA) was introduced, which successfully separated colonic motility patterns and noises into four independent components. And according to the rhythm of contractions examined by ICA, subjects' colonic motility could be divided into three types: regular rhythm (12 subjects), slow rhythm (8 subjects) and disordered (6 subjects), which exactly accorded with their original diagnosis.
authors.affiliation: Department of Information Measurement Technology and Instruments, Shanghai Jiao Tong University, Shanghai 200240, China.
authors.forename: C
authors.initials: C
authors.lastname: Pan
authors.forename: S P
authors.initials: SP
authors.lastname: Tian
authors.forename: G Z
authors.initials: GZ
authors.lastname: Yan
authors.forename: K D
authors.initials: KD
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D003106:Colon / Q000502:physiology / Q000503:physiopathology; D003248:Constipation / Q000503:physiopathology; D005769:Gastrointestinal Motility / Q000502:physiology*; D006801:Humans; D008365:Manometry / Q000379:methods*; D011312:Pressure; D025341:Principal Component Analysis; D012815:Signal Processing, Computer-Assisted