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dc.contributor.advisorAhmed, Tarem
dc.contributor.authorBengali, Rashida
dc.contributor.authorYeazdani, Nabila
dc.contributor.authorZaman, Naima
dc.date.accessioned2014-02-08T06:25:54Z
dc.date.available2014-02-08T06:25:54Z
dc.date.copyright2013
dc.date.issued2013-08
dc.identifier.otherID 09210011
dc.identifier.otherID 09210008
dc.identifier.otherID 09210025
dc.identifier.urihttp://hdl.handle.net/10361/2908
dc.descriptionThis thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electronics and Communication Engineering, 2013.
dc.descriptionCataloged from PDF version of thesis report.
dc.descriptionIncludes bibliographical references (page 32).
dc.description.abstractIn this thesis, a recursive algorithm based on kernel mapping is applied to develop an automated, ICU Signaling. The method is portable and adaptive, and has lower complexity. Streams of different medical parameters are used to identify normal and abnormal conditions of individual patients in ICU. Using a system as such, the slightest of anomaly deviated from the norm, can be detected and alarmed, so that the medical team can take immediate and emergency action.en_US
dc.description.statementofresponsibilityRashida Bengali
dc.description.statementofresponsibilityNabila Yeazdani
dc.description.statementofresponsibilityNaima Zaman
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBRAC University thesis reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectElectronics and communication engineering
dc.titleAutomating ICU emergency signalingen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Electrical and Electronic Engineering, BRAC University
dc.description.degreeB. Electrical and Communication Engineering


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