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A unified calibration paradigm for a better cuffless blood pressure estimation with modes of elastic tube and vascular elasticity

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posted on 2021-11-09, 10:56 authored by Jiang Shao, Ping Ping Shi, Sijung HuSijung Hu
Although two modes of elastic tube (ET) and vascular elasticity (VE) have been well explored for cuffless continuous blood pressure (BP) monitoring estimation, the initial calibration with these two models could be derived from different mathematical mechanisms for BP estimation. The study is aimed at evaluating the performance of VE and ET models by means of an advanced point-to-point (aPTP) pairing calibration. The cuff BPs were only taken up while the signals of PPG and ECG were synchronously acquired from individual subjects. Two popular VE models together with one representative ET model were designated to study aPTP as a unified assessment criterion. The VE model has demonstrated the stronger correlation r of 0.89 and 0.86 of SBP and DBP, respectively, and the lower estimated BP error of -0.01±5.90 (4.55) mmHg and 0.04±4.40 (3.38) mmHg of SBP and DBP, respectively, than the ET model. With the ET model, there is a significant difference between the methods of conventional least-square (LS) calibration and aPTP calibration (p<0.05). These results showed that the VE model surpasses the ET model under the same uniform calibration. The outcome has been unveiled that the selection of initial calibration methods was vital to work out diastolic BP with the ET model. The study revealed an evident fact about initial sensitivity between the modes of different BP estimation and initial calibration.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Journal of Sensors

Volume

2021

Publisher

Hindawi Publishing Corporation

Version

  • VoR (Version of Record)

Rights holder

© The authors

Publisher statement

This is an Open Access Article. It is published by Hindawi under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

Acceptance date

2021-03-17

Publication date

2021-04-13

Copyright date

2020

ISSN

1687-725X

eISSN

1687-7268

Language

  • en

Depositor

Dr Sijung Hu. Deposit date: 8 November 2021

Article number

8868083

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