标题: Design of Wearable Breathing Sound Monitoring System for Real-Time Wheeze Detection
作者: Li, Shih-Hong
Lin, Bor-Shing
Tsai, Chen-Han
Yang, Cheng-Ta
Lin, Bor-Shyh
影像与生医光电研究所
Institute of Imaging and Biomedical Photonics
关键字: airway obstruction;wheeze detection;short-term breathing sound;spectral integration
公开日期: 1-一月-2017
摘要: In the clinic, the wheezing sound is usually considered as an indicator symptom to reflect the degree of airway obstruction. The auscultation approach is the most common way to diagnose wheezing sounds, but it subjectively depends on the experience of the physician. Several previous studies attempted to extract the features of breathing sounds to detect wheezing sounds automatically. However, there is still a lack of suitable monitoring systems for real-time wheeze detection in daily life. In this study, a wearable and wireless breathing sound monitoring system for real-time wheeze detection was proposed. Moreover, a breathing sounds analysis algorithm was designed to continuously extract and analyze the features of breathing sounds to provide the objectively quantitative information of breathing sounds to professional physicians. Here, normalized spectral integration (NSI) was also designed and applied in wheeze detection. The proposed algorithm required only short-term data of breathing sounds and lower computational complexity to perform real-time wheeze detection, and is suitable to be implemented in a commercial portable device, which contains relatively low computing power and memory. From the experimental results, the proposed system could provide good performance on wheeze detection exactly and might be a useful assisting tool for analysis of breathing sounds in clinical diagnosis.
URI: http://dx.doi.org/10.3390/s17010171
http://hdl.handle.net/11536/133049
ISSN: 1424-8220
DOI: 10.3390/s17010171
期刊: SENSORS
Volume: 17
Issue: 1
起始页: 0
结束页: 0
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