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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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    Automating hospital ICU emergency signaling

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    THESIS_REPORT.pdf (687.7Kb)
    Date
    2015-04
    Publisher
    BRAC University
    Author
    Zahan, Fahmida
    Mahmud, Nusrat
    Nawshin, Amanna
    Ahmed, Ferdousi
    Metadata
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    URI
    http://hdl.handle.net/10361/4211
    Abstract
    This thesis verifies that the proposed Kernel mapping based recursive least square algorithm can detect the slightest deviation of anomaly from the norm, monitor and learn underlying pattern between natural and abnormal multivariate medical parameters of a particular critical ICU patient with high detection accuracy and very low rate of false alarm. This online, automated, sequential, real-time intruder detection algorithm is suitable for any instantaneous detection of accidental emergencies without compromising the patient safety and effectiveness of care. It is an elegant, inexpensive solution, independent of complexity, and also a portable and adaptive approach.
    Keywords
    Electrical and electronic engineering
    Description
    This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2015.
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    • Thesis & Report, BSc (Electrical and Electronic Engineering)

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