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    Blind Estimation of Central Blood Pressure Using Least-Squares with Mean Matching and Box Constraints

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    Name:
    Blind_Estimation_of_Central_Blood_Pressure_using_LS_MMMBC___EMBC_2020___Final_Version.pdf
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    Description:
    Accepted manuscript
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    Type
    Conference Paper
    Authors
    Magbool, Ahmed cc
    Bahloul, Mohamed
    Ballal, Tarig
    Al-Naffouri, Tareq Y. cc
    Laleg-Kirati, Taous-Meriem cc
    KAUST Department
    Computational Bioscience Research Center (CBRC)
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering
    Electrical Engineering Program
    Estimation, Modeling and ANalysis Group
    Date
    2020-08-28
    Online Publication Date
    2020-08-28
    Print Publication Date
    2020-07
    Permanent link to this record
    http://hdl.handle.net/10754/665145
    
    Metadata
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    Abstract
    Central aortic blood pressure (CABP) is a very-well recognized source of information to asses the cardiovascular system conditions. However, the clinical measurement protocol of this pulse wave is very intrusive and burdensome as it requires expert staff and complicated invasive settings. On the other hand, the measurement of peripheral blood pressure is much more straightforward and easy-to-get non-invasively. Several mathematical tools have been employed in the past few decades to reconstruct CABP waveforms from distorted peripheral pressure signals. More specifically, the cross-relation approach together with the widely used least-squares method, are shown to be effective as a way to estimate CABP waves. In this paper, we propose an improved cross-relation method that leverages the values of the diastolic and systolic pressures as box constraints. In addition, a mean-matching criterion is introduced to relax the need for the input and output mean values to be strictly equal. Using the proposed method, the root mean squared error is reduced by approximately 20% while the computational complexity is not significantly increased.
    Citation
    Magbool, A., Bahloul, M. A., Ballal, T., Al-Naffouri, T. Y., & Laleg-Kirati, T.-M. (2020). Blind Estimation of Central Blood Pressure Using Least-Squares with Mean Matching and Box Constraints. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). doi:10.1109/embc44109.2020.9176258
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Conference/Event name
    2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
    ISBN
    978-1-7281-1991-5
    DOI
    10.1109/EMBC44109.2020.9176258
    Additional Links
    https://ieeexplore.ieee.org/document/9176258/
    https://ieeexplore.ieee.org/document/9176258/
    https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9176258
    ae974a485f413a2113503eed53cd6c53
    10.1109/EMBC44109.2020.9176258
    Scopus Count
    Collections
    Conference Papers; Electrical and Computer Engineering Program; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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