Differences in intestinal motility during different sleep stages based on long-term bowel sounds

Guojing Wang; Yibing Chen; Hongyun Liu; Xiaohua Yu; Yi Han; Weidong Wang; Hongyan Kang

doi:10.1186/s12938-023-01166-z

Differences in intestinal motility during different sleep stages based on long-term bowel sounds

Biomed Eng Online. 2023 Nov 2;22(1):105. doi: 10.1186/s12938-023-01166-z.

Authors

Guojing Wang^{1

2

3}, Yibing Chen⁴, Hongyun Liu^{2

3}, Xiaohua Yu^{2

3}, Yi Han^{2

3}, Weidong Wang^{5

6}, Hongyan Kang⁷

Affiliations

¹ Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education, Beijing Advanced Innovation Centre for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China.
² Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Chinese PLA General Hospital, Beijing, China.
³ Bioengineering Research Center, Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, China.
⁴ Department of Pulmonary and Critical Care Medicine, Chinese PLA General Hospital, Beijing, China.
⁵ Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Chinese PLA General Hospital, Beijing, China. wangweidong@301hospital.com.cn.
⁶ Bioengineering Research Center, Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, China. wangweidong@301hospital.com.cn.
⁷ Key Laboratory of Biomechanics and Mechanobiology (Beihang University), Ministry of Education, Beijing Advanced Innovation Centre for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China. hongyankang@buaa.edu.cn.

Abstract

Background and objectives: This study focused on changes in intestinal motility during different sleep stages based on long-term bowel sounds.

Methods: A modified higher order statistics algorithm was devised to identify the effective bowel sound segments. Next, characteristic values (CVs) were extracted from each bowel sound segment, which included 4 time-domain, 4 frequency-domain and 2 nonlinear CVs. The statistical analysis of these CVs corresponding to the different sleep stages could be used to evaluate the changes in intestinal motility during sleep.

Results: A total of 6865.81 min of data were recorded from 14 participants, including both polysomnographic data and bowel sound data which were recorded simultaneously from each participant. The average accuracy, sensitivity and specificity of the modified higher order statistics detector were 96.46 ± 2.60%, 97.24 ± 2.99% and 94.13 ± 4.37%. In addition, 217088 segments of effective bowel sound corresponding to different sleep stages were identified using the modified detector. Most of the CVs were statistically different during different sleep stages ([Formula: see text]). Furthermore, the bowel sounds were low in frequency based on frequency-domain CVs, high in energy based on time-domain CVs and low in complexity base on nonlinear CVs during deep sleep, which was consistent with the state of the EEG signals during deep sleep.

Conclusions: The intestinal motility varies by different sleep stages based on long-term bowel sounds using the modified higher order statistics detector. The study indicates that the long-term bowel sounds can well reflect intestinal motility during sleep. This study also demonstrates that it is technically feasible to simultaneously record intestinal motility and sleep state throughout the night. This offers great potential for future studies investigating intestinal motility during sleep and related clinical applications.

Keywords: Bowel sounds; Effective bowel sounds automatic recognition; Intestinal motility; Sleep stages; The modified higher order statistics algorithm.

MeSH terms

Algorithms
Gastrointestinal Motility*
Humans
Sleep Stages*

Abstract

MeSH terms

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