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Uncertainty in Blood Pressure Measurement Estimated Using Ensemble-Based Recursive Methodology

Authors
  • Lee, Soojeong1
  • Dajani, Hilmi R2
  • Rajan, Sreeraman
  • Lee, Gangseong
  • Groza, Voicu Z2
  • 1 Department of Computer Engineering, Sejong University, 209 Neungdong-ro, Gwangjin-gu, Seoul 05006, Korea
  • 2 (V.Z.G.)
Type
Published Article
Journal
Sensors
Publisher
MDPI AG
Publication Date
Apr 08, 2020
Volume
20
Issue
7
Identifiers
DOI: 10.3390/s20072108
PMID: 32276502
PMCID: PMC7180780
Source
PubMed Central
Keywords
License
Green

Abstract

Automated oscillometric blood pressure monitors are commonly used to measure blood pressure for many patients at home, office, and medical centers, and they have been actively studied recently. These devices usually provide a single blood pressure point and they are not able to indicate the uncertainty of the measured quantity. We propose a new technique using an ensemble-based recursive methodology to measure uncertainty for oscillometric blood pressure measurements. There are three stages we consider: the first stage is pre-learning to initialize good parameters using the bagging technique. In the second stage, we fine-tune the parameters using the ensemble-based recursive methodology that is used to accurately estimate blood pressure and then measure the uncertainty for the systolic blood pressure and diastolic blood pressure in the third stage.

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