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dc.contributor.authorMagbool, Ahmed
dc.contributor.authorBahloul, Mohamed
dc.contributor.authorBallal, Tarig
dc.contributor.authorAl-Naffouri, Tareq Y.
dc.contributor.authorLaleg-Kirati, Taous-Meriem
dc.date.accessioned2020-09-14T13:52:11Z
dc.date.available2020-09-14T13:52:11Z
dc.date.issued2020-08-28
dc.identifier.citationMagbool, 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
dc.identifier.isbn978-1-7281-1991-5
dc.identifier.issn1557-170X
dc.identifier.doi10.1109/EMBC44109.2020.9176258
dc.identifier.urihttp://hdl.handle.net/10754/665145
dc.description.abstractCentral 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.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/9176258/
dc.relation.urlhttps://ieeexplore.ieee.org/document/9176258/
dc.relation.urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9176258
dc.rightsArchived with thanks to IEEE
dc.subjectCentral aortic blood pressure
dc.subjectperipheral blood pressure
dc.subjectoptimization
dc.subjectmulti-channel blind system identification
dc.subjectbox constraints
dc.subjecteigenvalues
dc.subjecteigenvectors
dc.titleBlind Estimation of Central Blood Pressure Using Least-Squares with Mean Matching and Box Constraints
dc.typeConference Paper
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentEstimation, Modeling and ANalysis Group
dc.conference.date20-24 July 2020
dc.conference.name2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
dc.conference.locationMontreal, QC, Canada
dc.eprint.versionPost-print
kaust.personMagbool, Ahmed
kaust.personBahloul, Mohamed
kaust.personBallal, Tarig
kaust.personAl-Naffouri, Tareq Y.
kaust.personLaleg-Kirati, Taous-Meriem
refterms.dateFOA2020-09-15T05:23:14Z
dc.date.published-online2020-08-28
dc.date.published-print2020-07


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