Evaluation of human bowel motility using non-contact microphones

In recent years, features extracted from bowel sound (BS) has been proposed in the evaluation and monitoring of gastrointestinal motility. BS has been acquired using sensors such as electronic stethoscopes which require body contact with a subject. However, to our knowledge, the analysis of BS using non-contact microphones has not been reported yet. In this study, we compared BS acquired from a non-contact microphone with those of a stethoscope, while subjects undergo the soda tolerance test (STT). The STT stimulates bowel motility. Our investigation shows that irrespective of the body mass index, both stethoscope-based and non-contact microphone-based BSs have a similar performance in computing features such as: BS detected per minute and sound to sound interval in the time domain. These findings provide a powerful new window into the non-contact evaluation of bowel motility.

[1]  Keo-Sik Kim,et al.  Non-invasive algorithm for bowel motility estimation using a back-propagation neural network model of bowel sounds , 2011, Biomedical engineering online.

[2]  Brian L. Craine,et al.  Computerized Auscultation Applied to Irritable Bowel Syndrome , 1999, Digestive Diseases and Sciences.

[3]  Brian L. Craine,et al.  Two-Dimensional Positional Mapping of Gastrointestinal Sounds in Control and Functional Bowel Syndrome Patients , 2004, Digestive Diseases and Sciences.

[4]  M Sugrue,et al.  Computerized phonoenterography: the clinical investigation of a new system. , 1994, Journal of clinical gastroenterology.

[5]  H Yoshino,et al.  Clinical application of spectral analysis of bowel sounds in intestinal obstruction , 1990, Diseases of the colon and rectum.

[6]  George Kalliris,et al.  Bowel-sound pattern analysis using wavelets and neural networks with application to long-term, unsupervised, gastrointestinal motility monitoring , 2008, Expert Syst. Appl..

[7]  R. Tutuian,et al.  MR imaging in Crohn's disease: correlation of MR motility measurement with histopathology in the terminal ileum , 2013, Neurogastroenterology and motility : the official journal of the European Gastrointestinal Motility Society.

[8]  D. Koh,et al.  Evaluation of the anti-peristaltic effect of glucagon and hyoscine on the small bowel: comparison of intravenous and intramuscular drug administration , 2012, European Radiology.

[9]  Richard E. Lee,et al.  Diagnostic accuracy of the Barr and Blethyn radiological scoring systems for childhood constipation assessed using colonic transit time as the gold standard , 2009, Pediatric Radiology.

[10]  M. Nishizawa,et al.  Reduced bowel sounds in Parkinson’s disease and multiple system atrophy patients , 2011, Clinical Autonomic Research.

[11]  A. M. Pérez-Granados,et al.  A sodium-rich carbonated mineral water reduces cardiovascular risk in postmenopausal women. , 2004, The Journal of nutrition.

[12]  G. Zaloga,et al.  Blind bedside placement of enteric feeding tubes , 2001 .

[13]  Stavros M. Panas,et al.  Enhancement of bowel sounds by wavelet-based filtering , 2000, IEEE Transactions on Biomedical Engineering.

[14]  Osamu Sakata,et al.  Usefulness of a real-time bowel sound analysis system in patients with severe sepsis (pilot study) , 2015, Journal of Artificial Organs.

[15]  Didier Wolf,et al.  Digestive Activity Evaluation by Multichannel Abdominal Sounds Analysis , 2010, IEEE Transactions on Biomedical Engineering.

[16]  Keo-Sik Kim,et al.  Estimation algorithm of the bowel motility based on regression analysis of the jitter and shimmer of bowel sounds , 2011, Comput. Methods Programs Biomed..

[17]  Takeo Odaka,et al.  Evaluation of gastrointestinal motility by computerized analysis of abdominal auscultation findings , 2006, Journal of gastroenterology and hepatology.

[18]  T. E. Bowling Does disorder of gastrointestinal motility affect food intake in the post-surgical patient? , 1994 .

[19]  W. Cannon,et al.  AUSCULTATION OF THE RHYTHMIC SOUNDS PRODUCED BY THE STOMACH AND INTESTINES , 1905 .

[20]  Masatake Akutagawa,et al.  ARMA-based spectral bandwidth for evaluation of bowel motility by the analysis of bowel sounds , 2013, Physiological measurement.

[21]  Brian L. Craine,et al.  Enterotachogram Analysis to Distinguish Irritable Bowel Syndrome from Crohn's Disease , 2001, Digestive Diseases and Sciences.

[22]  L.J. Hadjileontiadis,et al.  Detection of explosive lung and bowel sounds by means of fractal dimension , 2003, IEEE Signal Processing Letters.

[23]  S. Ching,et al.  Spectral analysis of bowel sounds in intestinal obstruction using an electronic stethoscope. , 2012, World journal of gastroenterology.

[24]  Umit D. Ulusar,et al.  Recovery of gastrointestinal tract motility detection using Naive Bayesian and minimum statistics , 2014, Comput. Biol. Medicine.

[25]  Hussein A. Mansy,et al.  Gastrointestinal sounds and migrating motor complex in fasted humans. , 1999 .