Gastrointestinal Sounds and Migrating Motor Complex in Fasted Humans

Tomomasa, Takeshi; Morikawa, Akihiro; Sandler, Richard H.; Mansy, Hansen A.; Koneko, Hiroaki; Takahashi, Masahīko; Hyman, Paul E.

doi:10.1111/j.1572-0241.1999.00862.x

Cited by 69 publications

(57 citation statements)

References 15 publications

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“…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]. …”

Section: Discussionmentioning

confidence: 99%

“…On the contrary, many researchers believe that the period of BS monitoring should be longer over at least 2 hours since lasting/regularly-sustained (RS) BSs monitored during a full migrating motor complex (MMC) cycle are also associated with bowel motility [4,10-16]. Unfortunately, even though the acoustical features obtained from the short-term recording of 10 minutes set in this study showed its feasibility, this strategy would raise a subject prolific of controversy related to the statistical reliability of the acquired samples.…”

Section: Discussionmentioning

confidence: 99%

“…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.…”

Section: Introductionmentioning

confidence: 99%

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

2011

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BackgroundRadiological scoring methods such as colon transit time (CTT) have been widely used for the assessment of bowel motility. However, these radiograph-based methods need cumbersome radiological instruments and their frequent exposure to radiation. Therefore, a non-invasive estimation algorithm of bowel motility, based on a back-propagation neural network (BPNN) model of bowel sounds (BS) obtained by an auscultation, was devised.MethodsTwelve healthy males (age: 24.8 ± 2.7 years) and 6 patients with spinal cord injury (6 males, age: 55.3 ± 7.1 years) were examined. BS signals generated during the digestive process were recorded from 3 colonic segments (ascending, descending and sigmoid colon), and then, the acoustical features (jitter and shimmer) of the individual BS segment were obtained. Only 6 features (J1, 3, J3, 3, S1, 2, S2, 1, S2, 2, S3, 2), which are highly correlated to the CTTs measured by the conventional method, were used as the features of the input vector for the BPNN.ResultsAs a results, both the jitters and shimmers of the normal subjects were relatively higher than those of the patients, whereas the CTTs of the normal subjects were relatively lower than those of the patients (p < 0.01). Also, through k-fold cross validation, the correlation coefficient and mean average error between the CTTs measured by a conventional radiograph and the values estimated by our algorithm were 0.89 and 10.6 hours, respectively.ConclusionsThe jitter and shimmer of the BS signals generated during the peristalsis could be clinically useful for the discriminative parameters of bowel motility. Also, the devised algorithm showed good potential for the continuous monitoring and estimation of bowel motility, instead of conventional radiography, and thus, it could be used as a complementary tool for the non-invasive measurement of bowel motility.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

2011

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“…By ultrasonography monitoring of the wall and the movement of the contents of the stomach and duodenum, the sound detected during the activity of the antrum of the stomach and duodenum was regarded as the gastroduodenal (GD) sound and that detected in the absence of stomach wall activity was regarded as the intestinal (I) sound (small and large intestine). The number, duration and amplitude of the sounds, as well as the frequency and sound index (SI; the sum of the sounds per unit time), were determined according to the method described by Tomomasa et al 6 . and the product of the sound number and amplitude was calculated every 15 min.…”

Section: Methodsmentioning

confidence: 99%

“…For an objective evaluation, digitalization of the auscultated sound, quantitation of the auscultated sound and frequency analysis were carried out using a computer 2–9 . Not only for evaluation, but also for the diagnosis of GI function, analysis of abdominal sounds and has been attempted 6,10 . However, the results obtained were not satisfactory for the diagnosis of GI function.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of gastrointestinal motility by computerized analysis of abdominal auscultation findings

Yamaguchi

Odaka

et al. 2006

J of Gastro and Hepatol

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Intestinal Motility

Garcia-Casado

Martínez-de-Juan

Ponce

2006

Wiley Encyclopedia of Biomedical Engineering

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Intestinal motility, i.e., gut mechanical activity, is associated with the functions of mixture and transport performed by the small bowel. Its information is of great interest for the diagnosis of such pathologies as intestinal ischemia, irritable bowel syndrome, paralytic ileum, or intestinal obstruction. Nevertheless, the difficult access to this portion of digestive tract and its length and irregular distribution in the abdominal cavity complicate its registration and study. The measurement of intestinal mechanical activity has traditionally been carried out by manometric techniques. However, physiologic and technical problems derived from the use of these techniques raise doubts about its clinical applications. As there is a myoelectric activity generated by intestinal smooth muscle associated with its mechanical contraction, myoelectric techniques emerge as an alternative solution to the problem of monitoring intestinal motility. Biomedical engineering proposes different techniques of analysis and registration in response to the necessity of studying these myoelectrical signals. Concretely, spectral analysis and analysis in the time‐frequency domain provide objective parameters to quantify small bowel activity. Even so, registering intestinal myoelectric activity requires surgical intervention for electrodes’ implantation in bowel serosa. Nowadays, the trend of research studies is directed to the noninvasive measurement of intestinal motor activity by placing sensors on the external abdominal wall: microphones, magnetic flux detectors, or contact electrodes. If technological development of these techniques is achieved, new diagnostic tools of great interest for gastroenterology would be available.

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Gastrointestinal Sounds and Migrating Motor Complex in Fasted Humans

Cited by 69 publications

References 15 publications

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

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

Evaluation of gastrointestinal motility by computerized analysis of abdominal auscultation findings

Intestinal Motility

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