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dc.contributor.authorShih, Dong-Heren_US
dc.contributor.authorChiang, Hsiu-Senen_US
dc.contributor.authorLin, Shih-Binen_US
dc.contributor.authorShih, Ming-Hungen_US
dc.date.accessioned2015-07-21T08:31:02Z-
dc.date.available2015-07-21T08:31:02Z-
dc.date.issued2007-01-01en_US
dc.identifier.isbn978-1-4244-0972-3en_US
dc.identifier.issnen_US
dc.identifier.urihttp://hdl.handle.net/11536/125058-
dc.description.abstractOnce there are more senior citizens and chronic diseases than ever, the number of elderly people who need constant assistance increased a lot. The key point of all critical care of elderly is the continuous monitoring of their vital signs. Among these, the ECG signal is used to noninvasive diagnosis of cardiovascular diseases. Also, there is a pressing need to have a proper system in place for patient identification. Errors in patient identification and hence improper administrator of medication can lead to disastrous results. This paper proposes an embedded mobile ECG reasoning system, which integrates ECG signal reasoning and RFID identification systems for elderly people monitoring. This system enables continuous monitoring and identification of elderly people.en_US
dc.language.isoen_USen_US
dc.subjectECG signalen_US
dc.subjectAPNen_US
dc.subjectDWTen_US
dc.subjectreasoningen_US
dc.titleAn intelligent ECG reasoning system for the elderlyen_US
dc.typeProceedings Paperen_US
dc.identifier.journalPROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7en_US
dc.citation.spage1826en_US
dc.citation.epage1831en_US
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.identifier.wosnumberWOS:000251433403002en_US
dc.citation.woscount1en_US
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