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Detection of sputum by interpreting the time-frequency distribution of respiratory sound signal using image processing techniques
Niu, Jinglong; Shi, Yan; Cai, Maolin; Cao, Zhixin; Wang, Dandan; Zhang, Zhaozhi; Zhang, Xiaohua Douglas
2018-03
Source PublicationBIOINFORMATICS
ISSN1367-4803
Volume34Issue:5Pages:820-827
Abstract

Sputum in the trachea is hard to expectorate and detect directly for the patients who are unconscious, especially those in Intensive Care Unit. Medical staff should always check the condition of sputum in the trachea. This is time-consuming and the necessary skills are difficult to acquire. Currently, there are few automatic approaches to serve as alternatives to this manual approach.

DOI10.1093/bioinformatics/btx652
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaBiochemistry & Molecular Biology ; Biotechnology & Applied Microbiology ; Computer Science ; Mathematical & Computational Biology ; Mathematics
WOS SubjectBiochemical Research Methods ; Biotechnology & Applied Microbiology ; Computer Science, Interdisciplinary Applications ; Mathematical & Computational Biology ; Statistics & Probability
WOS IDWOS:000426813500014
PublisherOXFORD UNIV PRESS
The Source to ArticleWOS
Scopus ID2-s2.0-85042906966
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionFaculty of Health Sciences
Recommended Citation
GB/T 7714
Niu, Jinglong,Shi, Yan,Cai, Maolin,et al. Detection of sputum by interpreting the time-frequency distribution of respiratory sound signal using image processing techniques[J]. BIOINFORMATICS, 2018, 34(5), 820-827.
APA Niu, Jinglong., Shi, Yan., Cai, Maolin., Cao, Zhixin., Wang, Dandan., Zhang, Zhaozhi., & Zhang, Xiaohua Douglas (2018). Detection of sputum by interpreting the time-frequency distribution of respiratory sound signal using image processing techniques. BIOINFORMATICS, 34(5), 820-827.
MLA Niu, Jinglong,et al."Detection of sputum by interpreting the time-frequency distribution of respiratory sound signal using image processing techniques".BIOINFORMATICS 34.5(2018):820-827.
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