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    • Thesis & Report, BSc (Electrical and Electronic Engineering)
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    •   BracU IR
    • School of Engineering (SoE)
    • Department of Electrical and Electronic Engineering (EEE)
    • Thesis & Report, BSc (Electrical and Electronic Engineering)
    • View Item
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    KOAD implemented automatic ICU signalling and error minimization

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    12210010, 12210014 & 12210016_EEE.pdf (450.9Kb)
    Date
    2016-08
    Publisher
    BRAC University
    Author
    Shemonti, Nazifa Mubashshera
    Chakraborty, Arnoba
    Ibnat, Aniqa Afra
    Metadata
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    URI
    http://hdl.handle.net/10361/6428
    Abstract
    In this paper, a previously developed algorithm based on self implementation and kernel mapping is executed in medical field to develop an automated, ICU signalling. The method is taken into consideration because it is adaptive, portable and has lower complexity in comparison to contemporary approaches. The proposed algorithm takes in set of different medical parameters to monitor the conditions of individual patients in an ICU. Application of real data and the learning mechanism of underlying patterns of the algorithm results in instantaneous detection and alarming in response to critical circumstances. In addition, the system yields recognition's with minimum false alarms.
    Keywords
    KOAD; ICU signalling
     
    Description
    This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2016.
     
    Cataloged from PDF version of thesis report.
     
    Includes bibliographical references (page 11-12).
    Department
    Department of Electrical and Electronic Engineering, BRAC University
    Collections
    • Thesis & Report, BSc (Electrical and Electronic Engineering)

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