Bowel Sound Signal Identifcation of Whole Abdomen Based on Voice Endpoint Detection.
10.3969/j.issn.1671-7104.2019.02.004
- Author:
Guojing WANG
1
;
Weidong WANG
1
Author Information
1. Center of Biomedical Engineering, Chinese PLA General Hospital, Beijing,
- Publication Type:Journal Article
- Keywords:
adaptive cancellation;
bowel sounds;
voice endpoint detection;
wavelet threshold denoising;
whole abdomen
- MeSH:
Abdomen;
Algorithms;
Gastrointestinal Motility;
Signal Processing, Computer-Assisted;
Sound
- From:
Chinese Journal of Medical Instrumentation
2019;43(2):90-93
- CountryChina
- Language:Chinese
-
Abstract:
Bowel sounds are one of the important physiological signals of the body,and different bowel sounds can reflect different gastrointestinal states.In this paper,long time bowel sound data is obtained with wearable full belly bowel sound recorder which is independent designed.After adaptive noise cancellation and wavelet threshold denoising,voice endpoint detection method based on short-time energy is used to identify effective bowel sounds.Experiments and results show that the sound recorder is simple and reliable.Through processing,analysis and endpoint detection algorithm,the recognition accuracy of effective bowel sounds is high,which has certain clinical practicality and research significance.
