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...Show MoreMetadata
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.
Published in: 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
Date of Conference: 07-10 December 2020
Date Added to IEEE Xplore: 31 December 2020
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Conference Location: Auckland, New Zealand