Research on auto-identification method to the typical bowel sound signal
Bowel sound (BS) is an important parameter in clinical diagnosis and therapy. Auto-identifying the kind of BS has an important significance in helping the medical staff to analysis the status of the critical patients intestinal peristalsis and to select the most effective treatment. According to the BS signals characteristics, such as complicated noise, poor periodicity and strong randomization, a new processing method is proposed in this article. First of all, the signals energy and duration is taken as the separation indexes in extracting the BS segments to identify the BS occurrence counting per unite time. Secondly, adaptive noise reduction is used to the extracted signal to filter out the background noise. Thirdly, the characteristics of the purer BS signal is calculated to extract the classification rules. Finally the auto-identification of the BS signal can be achieved. The effectiveness of the method was verified by three kinds of BS signals (hyperfunction, normal and enteroparalysis) with the cooperation of a hospital intensive care unit (ICU) and the rules for three kinds of BS signals was given.
Bowel sound Auto-identification Segmentation Aadptive filter Signal detection
Min Li Xiaqjing Wang Jianhong Yang
Mechanical Engineering School University of Science and Technology Beijing Beijing, China
国际会议
上海
英文
847-851
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）