Basic study of occurrence frequency of bowel sounds after food ingestion

Sato, Osamu; Matsuda, Kazuo; Suzuki, Yutaka; Satake, Takaaki

doi:10.1109/tencon.2011.6129303

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…They then added a wavelet filter to their scheme, improving the overall results; a detection ratio (sensitivity) of 99% with <2% false positives was achieved [ 59 ]. Sakata et al also showed that BS recordings are a source of patients’ stress [ 60 ] and that lifestyle changes may influence BS more than types of food [ 61 ]. They also demonstrated that the frequency of low and normal intensity BS did only correlate to periods of digestion [ 62 ].…”

Section: Resultsmentioning

confidence: 99%

Automated Bowel Sound Analysis: An Overview

Nowak

Radzikowski

et al. 2021

Sensors

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Despite technological progress, we lack a consensus on the method of conducting automated bowel sound (BS) analysis and, consequently, BS tools have not become available to doctors. We aimed to briefly review the literature on BS recording and analysis, with an emphasis on the broad range of analytical approaches. Scientific journals and conference materials were researched with a specific set of terms (Scopus, MEDLINE, IEEE) to find reports on BS. The research articles identified were analyzed in the context of main research directions at a number of centers globally. Automated BS analysis methods were already well developed by the early 2000s. Accuracy of 90% and higher had been achieved with various analytical approaches, including wavelet transformations, multi-layer perceptrons, independent component analysis and autoregressive-moving-average models. Clinical research on BS has exposed their important potential in the non-invasive diagnosis of irritable bowel syndrome, in surgery, and for the investigation of gastrointestinal motility. The most recent advances are linked to the application of artificial intelligence and the development of dedicated BS devices. BS research is technologically mature, but lacks uniform methodology, an international forum for discussion and an open platform for data exchange. A common ground is needed as a starting point. The next key development will be the release of freely available benchmark datasets with labels confirmed by human experts.

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Section: Resultsmentioning

confidence: 99%

Automated Bowel Sound Analysis: An Overview

Nowak

Radzikowski

et al. 2021

Sensors

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“…The long-term bowel sound measurement/analysis system consists of a multi-channel sound sensor sited on an abdominal surface, a data logger (amplifier and A/Dconverter), and a PC for recording and analysis. The analytical method of recorded bowel sound data is same as the procedure adopted in the precedent study [1], [3], [4] and is shown in Fig. 1.…”

Section: Methods Of Measurement and Analysismentioning

confidence: 99%

Optimum Unit Time on Calculating Occurrence Frequency of Bowel Sounds for Real-Time Monitoring of Bowel Peristalsis

Sato

Suzuki

2016

IJSPS

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Long-Term and real-time bowel sound recording/analysis is useful for monitoring activity of bowel peristalsis clinically and industrially. We have studied its application with food design, nutrition management, dietary therapy, critical care and so on in mind. Therefore, we built a BS measurement/analysis system including development of the dedicated sensor for BS and the abdomen audible signal processing method. Although we got some useful knowledge as the result, the matter to consider is still left behind. We had carried out evaluation of peristaltic activity of an intestine, focusing on change of the number of bowel sounds generating per unit time. However we have not examined the optimal length of this unit time yet. Here, based on an easy experimental examination, we report that the optimal unit time length for calculating occurrence frequency of bowel sounds is estimated as one to two minutes. 

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“…The main advantages of MEMS sensors include compact size, low power consumption, easy integration, and so on. It is of interest that MEMS microphones (silicon microphones) have been used for bowel sound monitoring in some recent studies [32][33][34][35][36] due to their small size and high sensitivity. Wang et al [32] developed a flexible, wearable wireless system using silicon microphone, which could realize long-term, real-time monitoring and analysis of bowel sounds.…”

Section: Introductionmentioning

confidence: 99%

A High-Sensitivity Bowel Sound Electronic Monitor Based on Piezoelectric Micromachined Ultrasonic Transducers

Ding

Gao

et al. 2022

Micromachines

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Bowel sounds contain some important human physiological parameters which can reflect information about intestinal function. In this work, in order to realize real-time monitoring of bowel sounds, a portable and wearable bowel sound electronic monitor based on piezoelectric micromachined ultrasonic transducers (PMUTs) is proposed. This prototype consists of a sensing module to collect bowel sounds and a GUI (graphical user interface) based on LabVIEW to display real-time bowel sound signals. The sensing module is composed of four PMUTs connected in parallel and a signal conditioning circuit. The sensitivity, noise resolution, and non-linearity of the bowel sound monitor are measured in this work. The result indicates that the designed prototype has high sensitivity (−142.69 dB), high noise resolution (50 dB at 100 Hz), and small non-linearity. To demonstrate the characteristic of the designed electronic monitor, continuous bowel sound monitoring is performed using the electronic monitor and a stethoscope on a healthy human before and after a meal. Through comparing the experimental results and analyzing the signals in the time domain and frequency domain, this bowel sound monitor is demonstrated to record bowel sounds from the human intestine. This work displays the potential of the sensor for the daily monitoring of bowel sounds.

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Basic study of occurrence frequency of bowel sounds after food ingestion

Cited by 5 publications

References 6 publications

Automated Bowel Sound Analysis: An Overview

Automated Bowel Sound Analysis: An Overview

Optimum Unit Time on Calculating Occurrence Frequency of Bowel Sounds for Real-Time Monitoring of Bowel Peristalsis

A High-Sensitivity Bowel Sound Electronic Monitor Based on Piezoelectric Micromachined Ultrasonic Transducers

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