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dc.contributor.authorLi, Shih-Hongen_US
dc.contributor.authorLin, Bor-Shingen_US
dc.contributor.authorTsai, Chen-Hanen_US
dc.contributor.authorYang, Cheng-Taen_US
dc.contributor.authorLin, Bor-Shyhen_US
dc.date.accessioned2019-04-03T06:36:47Z-
dc.date.available2019-04-03T06:36:47Z-
dc.date.issued2017-01-01en_US
dc.identifier.issn1424-8220en_US
dc.identifier.urihttp://dx.doi.org/10.3390/s17010171en_US
dc.identifier.urihttp://hdl.handle.net/11536/133049-
dc.description.abstractIn 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.en_US
dc.language.isoen_USen_US
dc.subjectairway obstructionen_US
dc.subjectwheeze detectionen_US
dc.subjectshort-term breathing sounden_US
dc.subjectspectral integrationen_US
dc.titleDesign of Wearable Breathing Sound Monitoring System for Real-Time Wheeze Detectionen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/s17010171en_US
dc.identifier.journalSENSORSen_US
dc.citation.volume17en_US
dc.citation.issue1en_US
dc.citation.spage0en_US
dc.citation.epage0en_US
dc.contributor.department影像与生医光电研究所zh_TW
dc.contributor.departmentInstitute of Imaging and Biomedical Photonicsen_US
dc.identifier.wosnumberWOS:000393021000170en_US
dc.citation.woscount4en_US
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