Long-term signal detection, segmentation and summarization using wavelets and fractal dimension: A bioacoustics application in gastrointestinal-motility monitoring

被引：54

作者：

Dimoulas, C.

Kalliris, G.

Papanikolaou, G.

Kalampakas, A.

机构：

[1] Aristotle Univ Thessaloniki, Dept Elect & Comp Engn, Thessaloniki 54124, Greece

[2] Aristotle Univ Thessaloniki, Sch Journalism & Mass Commun Media, Thessaloniki 54124, Greece

[3] Papageorgiou Gen Dist Hosp, Dept Gastroenterol, Thessaloniki 56403, Greece

来源：

COMPUTERS IN BIOLOGY AND MEDICINE | 2007年 / 37卷 / 04期

关键词：

wavelets; fractal dimension; de-noising; long-term processing; signal detection; bowel sounds; gastrointestinal sounds; gastrointestinal phonography; gastrointestinal motility;

D O I：

10.1016/j.compbiomed.2006.08.013

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

The current paper describes a wavelet-based method for long-term processing and analysis of gastrointestinal sounds (GIS). Windowing techniques are used to select sequential blocks of the prolonged multi-channel recordings and proceed to various wavelet-domain processing stages. De-noising, significant-activity detection, automated segmentation and extraction of summary curves are applied in an integrated mode, allowing for enhanced content manipulation and analysis. The proposed analysis scheme combines flexible long-term graphical representation tools, while maintaining the ability of quick browsing via visualization and auralization of the detected short-term events. This work is part of a project aiming to implement non-invasive diagnosis over gastrointestinal-motility (GIM) physiology. However, the proposed techniques might be applied to any study of long-term bioacoustics time series. (c) 2006 Elsevier Ltd. All rights reserved.

引用

页码：438 / 462

页数：25

共 68 条

[1] An algorithm for the automatic differentiation between the speech of normals and patients with Friedreich's ataxia based on the short-time fractal dimension [J].