Blind Estimation of Central Blood Pressure Using Least-Squares with Mean Matching and Box Constraints
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Blind_Estimation_of_Central_Blood_Pressure_using_LS_MMMBC___EMBC_2020___Final_Version.pdf
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Accepted manuscript
Type
Conference PaperAuthors
Magbool, Ahmed
Bahloul, Mohamed
Ballal, Tarig
Al-Naffouri, Tareq Y.

Laleg-Kirati, Taous-Meriem

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
2020-08-28Online Publication Date
2020-08-28Print Publication Date
2020-07Permanent link to this record
http://hdl.handle.net/10754/665145
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Show full item recordAbstract
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/embc44109.2020.9176258Conference/Event name
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)ISBN
978-1-7281-1991-5Additional 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