Key result
A proposed Bayesian model for oscillometric blood pressure estimation showed lower mean difference and standard deviation compared to the maximum amplitude algorithm for both SBP and DBP.
Comparison
Bayesian model to estimate systolic and… vs Maximum amplitude algorithm using single fixed…
Design
Other
Authors
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May improve oscillometric BP accuracy; leaves open prospective validation before clinical adoption.
A novel Bayesian model for oscillometric blood pressure estimation improves accuracy over the standard maximum amplitude algorithm.
Lee et al. (2013) studied Blood pressure estimation. Bayesian model for oscillometric blood pressure estimation vs. Maximum amplitude algorithm (MAA) was evaluated on Mean difference (MD) with standard deviation (SD) for SBP and DBP. A proposed Bayesian model for oscillometric blood pressure estimation showed lower mean difference and standard deviation compared to the maximum amplitude algorithm for both SBP and DBP.