Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4964782 | Computers in Biology and Medicine | 2017 | 13 Pages |
Abstract
Conclusions: The proposed approach combining the NPB technique with the GMM provides a methodology to derive individualized characteristic ratio. The results exhibit that the proposed approach enhances the accuracy of SBP and DBP estimation and provides narrower confidence intervals for the estimates.
Keywords
MAPLBHSANSIGMRGMMAAMIOscillometric methodOMWSDENPBDBPSBPBICMCPMean errorPMAExpectation-MaximizationBlood pressure measurementNonparametric bootstrapBootstrap techniqueMaximum amplitudeGaussian mixture regressionAgeconfidence intervaldiastolic blood pressuresystolic blood pressuremean arterial pressureCuff pressureBlood pressureGaussian mixture modelBayesian information criterionAsymmetry ratiomapMachine learning
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Soojeong Lee, Sreeraman Rajan, Gwanggil Jeon, Joon-Hyuk Chang, Hilmi R Dajani, Voicu Z Groza,