Estimation algorithm of the bowel motility based on regression analysis of the jitter and shimmer of bowel sounds

Authors:
Keo Sik Kim;Jeong Hwan Seo;Sang Hun Ryu;Min Ho Kim;Chul Gyu Song
Affiliations:
School of Electronics and Information Engineering, Chonbuk National University, 664-14 Deokjin-dong, Jeonju, Jeonbuk 561-756, Republic of Korea;School of Medicine, Dept. of Rehabilitation Medicine, Chonbuk National University Hospital, 42 Wonjam-5gil, Jeonju, Jeonbuk 561-712, Republic of Korea;School of Electronics and Information Engineering, Chonbuk National University, 664-14 Deokjin-dong, Jeonju, Jeonbuk 561-756, Republic of Korea;School of Medicine, Dept. of Rehabilitation Medicine, Chonbuk National University Hospital, 42 Wonjam-5gil, Jeonju, Jeonbuk 561-712, Republic of Korea;School of Electronics and Information Engineering, Chonbuk National University, 664-14 Deokjin-dong, Jeonju, Jeonbuk 561-756, Republic of Korea and Center for Advanced Image and Information Techno ...
Venue:
Computer Methods and Programs in Biomedicine
Year:
2011

Citing 4
Cited 0

Intelligent Systems: Technology and Applications,Six Volume Set

Intelligent Systems: Technology and Applications,Six Volume Set
Long-term signal detection, segmentation and summarization using wavelets and fractal dimension: A bioacoustics application in gastrointestinal-motility monitoring

Computers in Biology and Medicine
An iterative kurtosis-based technique for the detection of nonstationary bioacoustic signals

Signal Processing - Special section: Multimodal human-computer interfaces
Bowel-sound pattern analysis using wavelets and neural networks with application to long-term, unsupervised, gastrointestinal motility monitoring

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

Bowel sound (BS) signals can be used clinically as useful indicators of bowel motility. In this study, we devised a modified iterative kurtosis-based detector algorithm, in order to enhance the de-noising performance of BS signals, and an estimation algorithm of bowel motility based on the regression modeling of the jitter and shimmer of BS signals obtained by auscultation. The correlation coefficient, coefficient of determination and errors between the colon transit times measured by a conventional radiograph and the corresponding values estimated by our method were 0.987, 0.974 and 3.5+/-3.3h, respectively. These results demonstrated that our method could be used as a complementary tool for the non-invasive diagnosis and monitoring of bowel motility, instead of conventional radiography.