• 1. School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, P. R. China;
  • 2. Medical Innovation Research Division, Chinese PLA General Hospital, Beijing 100853, P. R. China;
  • 3. Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Chinese PLA General Hospital, Beijing 100853, P. R. China;
WANG Weidong, Email: wangweidong@301hospital.com.cn
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Monitoring of bowel sounds is an important method to assess bowel motility during sleep, but it is seriously affected by snoring noise. In this paper, the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) method was applied to remove snoring noise from bowel sounds during sleep. Specifically, the noisy bowel sounds were first band-pass filtered, then decomposed by the CEEMDAN method, and finally the appropriate components were selected to reconstruct the pure bowel sounds. The results of semi-simulated and real data showed that the CEEMDAN method was better than empirical mode decomposition and wavelet denoising method. The CEEMDAN method is used to remove snoring noise from bowel sounds during sleep, which lays an important foundation for using bowel sounds to assess the intestinal motility during sleep.

Citation: WANG Guojing, WANG Weidong, LIU Hongyun. Snoring noise removal method for bowel sound signal during sleep. Journal of Biomedical Engineering, 2024, 41(2): 288-294. doi: 10.7507/1001-5515.202307055 Copy

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