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    Taking meredith out of Grey's anatomy: automating hospital ICU emergency signaling

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    Date
    2016-05
    Publisher
    © 2016 Institute of Electrical and Electronics Engineers Inc.
    Author
    Ahmed, Tarem
    Ahmed, Supriyo Shafkat
    Chowdhury, Fazle Elahi
    Metadata
    Show full item record
    URI
    http://hdl.handle.net/10361/6903
    Citation
    Ahmed, T., Ahmed, S., & Chowdhury, F. E. (2016). Taking meredith out of grey's anatomy: Automating hospital ICU emergency signaling. Paper presented at the ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, , 2016-May 1886-1890. doi:10.1109/ICASSP.2016.7472004
    Abstract
    In this paper we propose a new algorithm based on kernel machines for automatic, instantaneous detection of emergencies occurring in a hospital Intensive Care Unit. The proposed algorithm takes as input the multitude of vital statistics that are continuously monitored for a critical patient in Intensive Care, learns the underlying pattern between the statistics that is naturally inherent for the particular patient, and instantaneously signals any deviation from this pattern. Through application to real data from a cardiac Intensive Care Unit at a hospital in a developing country, we show that it is possible to easily obtain high detection accuracy with low false alarm rates.
    Keywords
    ICU emergency signaling; Signal processing; Software
     
    Description
    This conference paper was presented in the 41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 [© 2016 Institute of Electrical and Electronics Engineers Inc.] The conference paper's definite version is available at: http:// 10.1109/ICASSP.2016.7472004
     
    This is a scopus indexed conference paper.
    DOI
    10.1109/ICASSP.2016.7472004
    Department
    Department of Electrical and Electronic Engineering, BRAC University
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    • Conference Paper

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