Blood pressure estimation using maximum slope of oscillometric pulses

Mafi, Majid; Rajan, Sreeraman; Bolić, Miodrag; Groza, Voicu; Dajani, Hilmi R.

doi:10.1109/embc.2012.6346655

Cited by 10 publications

(3 citation statements)

References 8 publications

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“…Mafi et al [20,21] looked at the PP waveform modulation and the maximum upslope of the systolic peak to improve NIBP. Some authors investigated the advantages of simultaneously recording ECG.…”

Section: Discussionmentioning

confidence: 99%

Systolic peak foot-to-apex time interval, a novel oscillometric technique for systolic blood pressure measurement

Benmira¹,

Perez-Martin²,

Coudray³

et al. 2017

Journal of Hypertension

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Background:Noninvasive blood pressure (BP) measurement is essential for the study of human physiology but automatic oscillometric devices only estimate SBP and DBP using various, undisclosed algorithms, precluding standardization and interchangeability. We propose a novel approach by tracking, during pneumatic cuff deflation, the time interval from the foot to the apex of the systolic peak of the oscillometric signal, which reaches a maximum concomitant with the first Korotkoff sound.Method:In 145 study participants and patients (group 1), we measured the systolic brachial artery blood pressure by Korotkoff sound recording, conventional oscillometry, and our fully automated systolic peak foot-to-apex time interval (SFATI) technique. In 35 other patients (group 2), we compared SFATI with intra-arterial measurement.Results:In group 1, the concordance correlation coefficient was 0.989 and 0.984 between SFATI and Korotkoff sounds, 0.884 and 0.917 between oscillometry and Korotkoff sounds, and 0.882 and 0.919 between SFATI and oscillometry, respectively, on the left and right arm. In group 2, it was 0.72 between SFATI and intra-arterial measurement, 0.67 between oscillometry and intra-arterial measurement, and 0.92 between SFATI and Korotkoff sounds. In 40 study participants, the reproducibility study yielded a concordance coefficient of 0.95 for SFATI and 0.94 for Korotkoff sounds.Conclusion:SFATI BP measurement shows an excellent concordance with the auscultatory technique, offering a major improvement over current oscillometric techniques and allowing standardization.

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Section: Discussionmentioning

confidence: 99%

Systolic peak foot-to-apex time interval, a novel oscillometric technique for systolic blood pressure measurement

Benmira¹,

Perez-Martin²,

Coudray³

et al. 2017

Journal of Hypertension

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“…Since the oscillation amplitudes carry most of the BP information, many of the os-cillometric algorithms are based on analyzing the oscillometric waveform envelope (OMWE) [61]- [66]. The OMWE can be formed as the peak-to-peak [12], [58], [67], the baseline-topeak [12], [58], the maximum slope [68], or the area [69] of the oscillometric pulses during the cuff deflation period. The peak-to-peak envelope is obtained by subtracting the consecutive peaks and troughs of the OMW.…”

Section: Oscillometrymentioning

confidence: 99%

Oscillometric Blood Pressure Estimation: Past, Present, and Future

Forouzanfar

Dajani

Groza

et al. 2015

IEEE Rev. Biomed. Eng.

159

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The use of automated blood pressure (BP) monitoring is growing as it does not require much expertise and can be performed by patients several times a day at home. Oscillometry is one of the most common measurement methods used in automated BP monitors. A review of the literature shows that a large variety of oscillometric algorithms have been developed for accurate estimation of BP but these algorithms are scattered in many different publications or patents. Moreover, considering that oscillometric devices dominate the home BP monitoring market, little effort has been made to survey the underlying algorithms that are used to estimate BP. In this review, a comprehensive survey of the existing oscillometric BP estimation algorithms is presented. The survey covers a broad spectrum of algorithms including the conventional maximum amplitude and derivative oscillometry as well as the recently proposed learning algorithms, model-based algorithms, and algorithms that are based on analysis of pulse morphology and pulse transit time. The aim is to classify the diverse underlying algorithms, describe each algorithm briefly, and discuss their advantages and disadvantages. This paper will also review the artifact removal techniques in oscillometry and the current standards for the automated BP monitors.

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“…The values of the fixed ratios represent population averages, so the devices may be accurate in only subjects with normal BP levels . Others use the OWE maximum upslope and downslope (ie, the maximum values of its derivative with respect to cuff pressure) to correspond to SBP and DBP, respectively . Nevertheless, both the height‐ and slope‐based techniques remain prone to noise and movement artifacts.…”

Section: Introductionmentioning

confidence: 99%

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

Zhang

Wang

et al. 2018

J of Clinical Hypertension

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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.

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Blood pressure estimation using maximum slope of oscillometric pulses

Cited by 10 publications

References 8 publications

Systolic peak foot-to-apex time interval, a novel oscillometric technique for systolic blood pressure measurement

Systolic peak foot-to-apex time interval, a novel oscillometric technique for systolic blood pressure measurement

Oscillometric Blood Pressure Estimation: Past, Present, and Future

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

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