Literature DB >> 32185510

Ensemble Methodology for Confidence Interval in Oscillometric Blood Pressure Measurements.

Soojeong Lee1, Gaseong Lee2.   

Abstract

Oscillometry blood pressure measurements are commonly used to measure blood pressure for many patients at hospitals, home, and office and they are actively studied recently. These devices generally offer a single blood pressure point and they are not able to indicate the confidence interval of the measured quantity. Therefore, we introduce a novel technique using ensemble-based adaptive methodology to measure confidence interval for oscillometry blood pressure measurements. The ensemble-based adaptive methodology that is used to accurately estimate blood pressure and then measure the confidence interval for the systolic blood pressure and diastolic blood pressure.

Entities:  

Keywords:  Confidence interval; Oscillometry blood pressure measurement; Support vector regression; Uncertainty

Mesh:

Year:  2020        PMID: 32185510     DOI: 10.1007/s10916-020-01551-4

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  6 in total

Review 1.  European Society of Hypertension recommendations for conventional, ambulatory and home blood pressure measurement.

Authors:  Eoin O'Brien; Roland Asmar; Lawrie Beilin; Yutaka Imai; Jean-Michel Mallion; Giuseppe Mancia; Thomas Mengden; Martin Myers; Paul Padfield; Paolo Palatini; Gianfranco Parati; Thomas Pickering; Josep Redon; Jan Staessen; George Stergiou; Paolo Verdecchia
Journal:  J Hypertens       Date:  2003-05       Impact factor: 4.844

2.  Oscillometric blood pressure measurement used for calibration of the arterial tonometry method contributes significantly to error.

Authors:  S Hansen; M Staber
Journal:  Eur J Anaesthesiol       Date:  2006-05-24       Impact factor: 4.330

3.  Augmented blood pressure measurement through the noninvasive estimation of physiological arterial pressure variability.

Authors:  Karen Soueidan; Silu Chen; Hilmi R Dajani; Miodrag Bolic; Voicu Groza
Journal:  Physiol Meas       Date:  2012-05-03       Impact factor: 2.833

4.  Estimated confidence interval from single blood pressure measurement based on algorithmic fusion.

Authors:  Soojeong Lee; Sreeraman Rajan; Chee-Hyun Park; Joon-Hyuk Chang; Hilmi R Dajani; Voicu Z Groza
Journal:  Comput Biol Med       Date:  2015-04-18       Impact factor: 4.589

5.  Accuracy and 'range of uncertainty' of oscillometric blood pressure monitors around the upper arm and the wrist.

Authors:  T Dieterle; E Battegay; B Bucheli; B Martina
Journal:  Blood Press Monit       Date:  1998       Impact factor: 1.444

6.  Combining Bootstrap Aggregation with Support Vector Regression for Small Blood Pressure Measurement.

Authors:  Soojeong Lee; Awais Ahmad; Gwanggil Jeon
Journal:  J Med Syst       Date:  2018-02-28       Impact factor: 4.460

  6 in total
  1 in total

1.  Implementation and Validation of a Novel Noninvasive blood Pressure Measurement Algorithm Based on Oscillometric Method with Obtaining International Hypertension Standards.

Authors:  Sahar Karimian; Mohammadreza Yazdchi; Reza Hajian
Journal:  J Med Signals Sens       Date:  2022-05-12
  1 in total

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