Literature DB >> 30570199

A convenient method to verify the accuracy of oscillometric blood pressure monitors by the auscultatory method: A smartphone-based app.

Zhi Zhang1, Weichun Xi1, Bingjiang Wang2, Guang Chu1, Fang Wang1.   

Abstract

It is recommended that oscillometric devices be calibrated by auscultation when first used, but this is difficult in practice. Here, we introduce a smartphone-based technique to verify the accuracy of blood pressure monitors (BPMs). We enrolled 99 consecutive subjects and tested 6 brands of BPMs in this study. During measurements of electronic oscillometric BPMs, Korotkoff sounds were simultaneously collected using a stethoscope head beneath a cuff connected to a smartphone, and an app named Accutension Stetho could then yield an auscultatory BP reading as a reference. Next, differences in BP between the different BPMs and Accutension Stetho were determined. The percentage of BP differences falling within 5, 10, and 15 mm Hg; the mean (MD) value; and the standard deviation (SD) of BP differences and deflation errors were analyzed among all the BPMs. We found that the percentages of SBP differences falling within 5 mm Hg of the 6 BPMs were 80%, 79%, 77%, 72%, 68%, and 63%, in turn. The deflation rates among the 6 BPMs were 2.23, 3.48, 6.10, 2.44, 3.66, and 4.85 mm Hg/beat, respectively. Deflation errors, which were defined as deflation prior to the end of the Korotkoff sounds, existed in 4 BPMs. In conclusion, Accutension Stetho could detect BP differences between oscillometric BPM readings and simultaneous auscultatory readings. Diastolic BP was overestimated when the device deflated prior to the end of the Korotkoff sounds. Using the app, it is possible to evaluate the accuracy of BPMs among the same subjects. ©2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  auscultatory; blood pressure measurement.; blood pressure monitor; hypertension; oscillometric sphygmomanometer

Mesh:

Year:  2018        PMID: 30570199      PMCID: PMC8030511          DOI: 10.1111/jch.13460

Source DB:  PubMed          Journal:  J Clin Hypertens (Greenwich)        ISSN: 1524-6175            Impact factor:   3.738


  19 in total

1.  Blood pressure measurement. Doctors who cannot calibrate sphygmomanometers should stop taking blood pressures.

Authors:  T Marshall; A Rouse
Journal:  BMJ       Date:  2001-10-06

2.  Cardiac cycle phase uncertainty: another source of error in indirect blood pressure measurement.

Authors:  C P Hatsell
Journal:  J Med Eng Technol       Date:  1992 Jul-Aug

Review 3.  From Korotkoff and Marey to automatic non-invasive oscillometric blood pressure measurement: does easiness come with reliability?

Authors:  A Benmira; A Perez-Martin; I Schuster; I Aichoun; S Coudray; F Bereksi-Reguig; M Dauzat
Journal:  Expert Rev Med Devices       Date:  2016-01-08       Impact factor: 3.166

4.  Oscillometric blood pressure devices and simulators: measurements of repeatability and differences between models.

Authors:  A J Sims; C A Reay; D R Bousfield; J A Menes; A Murray
Journal:  J Med Eng Technol       Date:  2005 May-Jun

5.  Automatic blood pressure measurement: the oscillometric waveform shape is a potential contributor to differences between oscillometric and auscultatory pressure measurements.

Authors:  John N Amoore; Yann Lemesre; Ian C Murray; Stephan Mieke; Susan T King; Fiona E Smith; Alan Murray
Journal:  J Hypertens       Date:  2008-01       Impact factor: 4.844

6.  Influence of different presentations of oscillometric data on automatic determination of systolic and diastolic pressures.

Authors:  Vojko Jazbinsek; Janko Luznik; Stephan Mieke; Zvonko Trontelj
Journal:  Ann Biomed Eng       Date:  2009-12-02       Impact factor: 3.934

Review 7.  Oscillometric Blood Pressure Estimation: Past, Present, and Future.

Authors:  Mohamad Forouzanfar; Hilmi R Dajani; Voicu Z Groza; Miodrag Bolic; Sreeraman Rajan; Izmail Batkin
Journal:  IEEE Rev Biomed Eng       Date:  2015-05-15

8.  Patient-Specific Oscillometric Blood Pressure Measurement.

Authors:  Jiankun Liu; Hao-Min Cheng; Chen-Huan Chen; Shih-Hsien Sung; Mohsen Moslehpour; Jin-Oh Hahn; Ramakrishna Mukkamala
Journal:  IEEE Trans Biomed Eng       Date:  2015-10-15       Impact factor: 4.538

9.  A convenient method to verify the accuracy of oscillometric blood pressure monitors by the auscultatory method: A smartphone-based app.

Authors:  Zhi Zhang; Weichun Xi; Bingjiang Wang; Guang Chu; Fang Wang
Journal:  J Clin Hypertens (Greenwich)       Date:  2018-12-20       Impact factor: 3.738

10.  A new automatic blood pressure kit auscultates for accurate reading with a smartphone: A diagnostic accuracy study.

Authors:  Hongjun Wu; Bingjian Wang; Xinpu Zhu; Guang Chu; Zhi Zhang
Journal:  Medicine (Baltimore)       Date:  2016-08       Impact factor: 1.889

View more
  5 in total

1.  The Hemodynamic Parameters Values Prediction on the Non-Invasive Hydrocuff Technology Basis with a Neural Network Applying.

Authors:  Marina Markuleva; Mikhail Gerashchenko; Sergey Gerashchenko; Robert Khizbullin; Igor Ivshin
Journal:  Sensors (Basel)       Date:  2022-06-01       Impact factor: 3.847

2.  A convenient method to verify the accuracy of oscillometric blood pressure monitors by the auscultatory method: A smartphone-based app.

Authors:  Zhi Zhang; Weichun Xi; Bingjiang Wang; Guang Chu; Fang Wang
Journal:  J Clin Hypertens (Greenwich)       Date:  2018-12-20       Impact factor: 3.738

3.  How to ensure personalized accuracy in home blood pressure devices: Should we play it by ear?

Authors:  Jennifer Ringrose; Raj Padwal
Journal:  J Clin Hypertens (Greenwich)       Date:  2018-12-20       Impact factor: 3.738

Review 4.  Korotkoff sounds dynamically reflect changes in cardiac function based on deep learning methods.

Authors:  Wenting Lin; Sixiang Jia; Yiwen Chen; Hanning Shi; Jianqiang Zhao; Zhe Li; Yiteng Wu; Hangpan Jiang; Qi Zhang; Wei Wang; Yayu Chen; Chao Feng; Shudong Xia
Journal:  Front Cardiovasc Med       Date:  2022-08-26

5.  Lung Auscultation of Hospitalized Patients with SARS-CoV-2 Pneumonia via a Wireless Stethoscope.

Authors:  Pengyu Zhang; Bingjian Wang; Yan Liu; Muge Fan; Yong Ji; Hao Xu; Mengdan Xu; Songwen Chen; Qing Li; Zhi Zhang
Journal:  Int J Med Sci       Date:  2021-01-28       Impact factor: 3.738

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.