| Paper ID | A-3-3.5 |
| Paper Title |
BOWEL MOVEMENT SIGNAL MODELING AND PARAMETERS EXTRACTION |
| Authors |
, Zhaoqi ChenWebert Montlouis, Johns Hopkins University, United States |
| Session |
A-3-3: Behavior Measurement and Analysis |
| Time | Thursday, 10 December, 17:30 - 19:30 |
| Presentation Time: | Thursday, 10 December, 18:30 - 18:45 Check your Time Zone |
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All times are in New Zealand Time (UTC +13) |
| Topic |
Biomedical Signal Processing and Systems (BioSiPS): |
| Abstract |
The characterization of each Individual Wave Component (IWC) is essential in determining the different types of Bowel movements. Equally important is the effective use of the IWCs to predict anomalies in the digestive system. As it is often the case, the rigorous testing of an algorithm is always limited by the quality and quantity of available data. Recently, a mathematical model was presented as an alternative to generating synthetic bowel sound data that can be used as a stimulus to test new algorithms. In this paper, we present an analysis of this model and a new algorithm to estimate the parameters of the individual wave components. The performance of the algorithm is evaluated in both synthetic and clinically recorded data. |