Name
Title | ||
|---|---|---|
Long-term signal detection, segmentation and summarization using wavelets and fractal dimension: a bioacoustics application in gastrointestinal-motility monitoring. |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.compbiomed.2006.08.013 | Comp. in Bio. and Med. |
Keywords | DocType | Volume |
bioacoustics application,gastrointestinal-motility monitoring,proposed technique,automated segmentation,long-term signal detection,flexible long-term graphical representation,fractal dimension,various wavelet-domain processing stage,long-term processing,long-term bioacoustics time series,enhanced content manipulation,gastrointestinal sound,proposed analysis scheme,current paper | Journal | 37 |
Issue | ISSN | Citations |
4 | 0010-4825 | 18 |
PageRank | References | Authors |
0.93 | 31 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Charalampos Dimoulas | 1 | 104 | 12.35 |
| G. Kalliris | 2 | 277 | 14.72 |
| George Papanikolaou | 3 | 80 | 7.07 |
| A. Kalampakas | 4 | 50 | 2.85 |