Evaluation of gastrointestinal motility by computerized analysis of abdominal auscultation findings

Abstract

The results of the present study indicate that the abdominal auscultation test could be used as a new diagnostic method to detect any abnormality in gastrointestinal motility.

Non-invasive algorithm for bowel motility estimation using a back-propagation neural network model of bowel sounds

“…For the last few decades, there have been various comparative studies on the BSs of normal subjects and those of patients with bowel dysfunction, such as irritable bowel syndrome [5,6,8], Crohn's disease [6], diabetes mellitus [7] and obstruction [18], and their results showed significant differences between the features obtained from BS signals according to the pathological condition of bowel motility. Also, several researchers recently have developed the de-noising, segmentation and feature extraction strategies of BS signals based on various signal-processing techniques [9-16,19].…”

“…On the other hands, hyperactive BSs ('loud', 'high-pitched' and 'tinkling' sounds) might be caused by diarrhea or early intestinal obstruction, whereas hypoactive sounds (very diminished or absent sounds) are associated with bowel obstruction, paralytic ileus, torsion of the bowel or peritonitis that indicate diminished peristalsis [23,24]. As considering these differences of sounds, several informative BS-features related to the pathological condition of the gastrointestinal tract have been reported: time-domain features, such as sound-to-sound interval (silence between BSs durations) [5,6,14], number of BSs by time interval [4,6,11,14], sound index (sum of the BSs amplitude) [4,7], median duration [11,14,16] and median acoustic intensity [11,14] of BSs, and frequency-domain ones, such as main frequency of BSs [4,11,14,16,18]. …”

“…Tomomasa et al [4] and Craine et al [5,6] presented changes in various features (sound-/motility-index, sound-to-sound interval, number of events and so on) of bowel sound according to the pathological condition. Yamaguchi et al [7] showed that the sound index of the gastro-duodenal sound in the diabetes mellitus patients was significantly lower after food intake than in healthy adults. Also, wavelet-based strategies for the signal acquisition, de-noising, automated segmentation, event detection and feature extraction of bowel sounds were proposed [8-11].…”

On-Body Sensing Solutions for Automatic Dietary Monitoring

“…Although bowel sounds are typi cally loudest after fasting, researchers recently confirmed a relation to intake for laboratory settings. 10 All such mea surements are perturbed by heart and respiration activity, as well as by body movement.…”

Monitoring technologies in the neonatal intensive care unit: implications for the detection of necrotizing enterocolitis

“…In 10 diabetes mellitus patients with delayed gastric emptying, the sound index of the gastroduodenal sound was significantly lower after the intake of a liquid meal compared with that of 20 healthy adults. 33 The authors characterized bowel sounds to be gastroduodenal, if they occurred with the activities of the stomach and duodenal wall (determined by U/S), or as intestinal, if occurring with no stomach and duodenal activity.…”