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基于语音端点检测的全腹肠鸣音信号识别

[Bowel Sound Signal Identifcation of Whole Abdomen Based on Voice Endpoint Detection].

作者信息

Wang Guojing, Wang Weidong

机构信息

Center of Biomedical Engineering, Chinese PLA General Hospital, Beijing, 100853.

出版信息

Zhongguo Yi Liao Qi Xie Za Zhi. 2019 Mar 30;43(2):90-93. doi: 10.3969/j.issn.1671-7104.2019.02.004.

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.

摘要

肠鸣音是人体重要的生理信号之一,不同的肠鸣音可以反映不同的胃肠状态。本文采用自主设计的可穿戴式全腹肠鸣音记录仪获取长时间的肠鸣音数据。经过自适应噪声消除和小波阈值去噪后,采用基于短时能量的语音端点检测方法来识别有效的肠鸣音。实验及结果表明,该肠鸣音记录仪简单可靠。通过处理、分析及端点检测算法,有效肠鸣音的识别准确率较高,具有一定的临床实用性和研究意义。

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