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Open AccessArticle

Automatic Bowel Motility Evaluation Technique for Noncontact Sound Recordings

1
Graduate School of Advanced Technology and Science, Tokushima University, Tokushima 770-8506, Japan
2
Graduate School of Technology, Industrial and Social Sciences, Tokushima University, Tokushima 770-8506, Japan
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2018, 8(6), 999; https://doi.org/10.3390/app8060999
Received: 9 May 2018 / Revised: 8 June 2018 / Accepted: 13 June 2018 / Published: 19 June 2018
(This article belongs to the Special Issue Modelling, Simulation and Data Analysis in Acoustical Problems)
Information on bowel motility can be obtained via magnetic resonance imaging (MRI)s and X-ray imaging. However, these approaches require expensive medical instruments and are unsuitable for frequent monitoring. Bowel sounds (BS) can be conveniently obtained using electronic stethoscopes and have recently been employed for the evaluation of bowel motility. More recently, our group proposed a novel method to evaluate bowel motility on the basis of BS acquired using a noncontact microphone. However, the method required manually detecting BS in the sound recordings, and manual segmentation is inconvenient and time consuming. To address this issue, herein, we propose a new method to automatically evaluate bowel motility for noncontact sound recordings. Using simulations for the sound recordings obtained from 20 human participants, we showed that the proposed method achieves an accuracy of approximately 90% in automatic bowel sound detection when acoustic feature power-normalized cepstral coefficients are used as inputs to artificial neural networks. Furthermore, we showed that bowel motility can be evaluated based on the three acoustic features in the time domain extracted by our method: BS per minute, signal-to-noise ratio, and sound-to-sound interval. The proposed method has the potential to contribute towards the development of noncontact evaluation methods for bowel motility. View Full-Text
Keywords: bowel sound; bowel motility; automatic detection/evaluation; power-normalized cepstral coefficients; noncontact instrumentation bowel sound; bowel motility; automatic detection/evaluation; power-normalized cepstral coefficients; noncontact instrumentation
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MDPI and ACS Style

Sato, R.; Emoto, T.; Gojima, Y.; Akutagawa, M. Automatic Bowel Motility Evaluation Technique for Noncontact Sound Recordings. Appl. Sci. 2018, 8, 999.

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