Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/98816
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dc.contributor.authorYang, Fengen
dc.contributor.authorSer, Weeen
dc.contributor.authorYu, Jufengen
dc.contributor.authorFoo, David Chee-Guanen
dc.contributor.authorYeo, Daniel Poh Shuanen
dc.contributor.authorChia, Pow-Lien
dc.contributor.authorWong, Jenniferen
dc.date.accessioned2013-07-31T06:09:09Zen
dc.date.accessioned2019-12-06T19:59:55Z-
dc.date.available2013-07-31T06:09:09Zen
dc.date.available2019-12-06T19:59:55Z-
dc.date.copyright2012en
dc.date.issued2012en
dc.identifier.urihttps://hdl.handle.net/10356/98816-
dc.identifier.urihttp://hdl.handle.net/10220/12608en
dc.description.abstractThe presence of an excessive amount of water in lung is a sign of pulmonary edema which can be caused by heart failure. The current solutions for lung water detection involve the use of X-ray, CT scan or serum biomarkers, which require bulky and expensive instruments as well as long measurement duration. This paper reports on a study conducted on the use of a different sensing modality to detect the presence of water in lung. The main contributions of the paper are twofold: 1) we propose to employ acoustic (or sound) based techniques for lung water detection. The design is simple and can be implemented on a portable or wearable system; 2) we establish the feasibility of sound-based techniques for lung water detection, by carrying out experimental studies using four feature extraction methods combined with two classification methods. The findings of this study will be beneficial to the design of portable devices for rapid and accurate lung water detection.en
dc.language.isoenen
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen
dc.titleLung water detection using acoustic techniquesen
dc.typeConference Paperen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen
dc.contributor.conferenceAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (34th : 2012 : San Diego, USA)en
dc.identifier.doi10.1109/EMBC.2012.6346907en
item.fulltextNo Fulltext-
item.grantfulltextnone-
Appears in Collections:EEE Conference Papers

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