Evidence map›Paper›PMID 29914491›Full record

ArticleBiomedical engineering online2018

Novel blood pressure and pulse pressure estimation based on pulse transit time and stroke volume approximation.

Joonnyong Lee, JangJay Sohn, Jonghyun Park, SeungMan Yang, Saram Lee, Hee Chan Kim

Open access · goldAbstract read
In one paragraph

Article in Biomedical engineering online, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
  2. Article
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  4. Using noninvasive adjusted pulse transit time for tracking beat-to-beat systolic blood pressure during ventricular arrhythmia.Hypertension research : official journal of the Japanese Society of Hypertension · 2022
    Article
  5. Review
  6. Article
  7. Review
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 3 countries.

Joonnyong LeeInterdisciplinary Program for Bioengineering, Seoul National University Graduate School, Suite 321, Building 8, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea.
JangJay SohnInterdisciplinary Program for Bioengineering, Seoul National University Graduate School, Suite 321, Building 8, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea.
Jonghyun ParkInterdisciplinary Program for Bioengineering, Seoul National University Graduate School, Suite 321, Building 8, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea.
SeungMan YangInterdisciplinary Program for Bioengineering, Seoul National University Graduate School, Suite 321, Building 8, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea.
Saram LeeSeoul National University Hospital Biomedical Research Institute, Suite 1203-1, 71 Daehak-ro, Jongno-gu, Seoul, 03082, Republic of Korea. hommelee@snu.ac.kr.
Hee Chan KimDepartment of Biomedical Engineering, Seoul National University College of Medicine, Suite 11315, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea. hckim@snu.ac.kr.ORCID http://orcid.org/0000-0002-2112-426X
Seoul National University · KRSeoul National University Hospital · KR

Funding

National Research Foundation of Korea 2016M3A9F1939646
6 · The paper itself

Abstract

backgroundNon-invasive continuous blood pressure monitors are of great interest to the medical community due to their value in hypertension management. Recently, studies have shown the potential of pulse pressure as a therapeutic target for hypertension, but not enough attention has been given to non-invasive continuous monitoring of pulse pressure. Although accurate pulse pressure estimation can be of direct value to hypertension management and indirectly to the estimation of systolic blood pressure, as it is the sum of pulse pressure and diastolic blood pressure, only a few inadequate methods of pulse pressure estimation have been proposed.

methodsWe present a novel, non-invasive blood pressure and pulse pressure estimation method based on pulse transit time and pre-ejection period. Pre-ejection period and pulse transit time were measured non-invasively using electrocardiogram, seismocardiogram, and photoplethysmogram measured from the torso. The proposed method used the 2-element Windkessel model to model pulse pressure with the ratio of stroke volume, approximated by pre-ejection period, and arterial compliance, estimated by pulse transit time. Diastolic blood pressure was estimated using pulse transit time, and systolic blood pressure was estimated as the sum of the two estimates. The estimation method was verified in 11 subjects in two separate conditions with induced cardiovascular response and the results were compared against a reference measurement and values obtained from a previously proposed method.

resultsThe proposed method yielded high agreement with the reference (pulse pressure correlation with reference R ≥ 0.927, diastolic blood pressure correlation with reference R ≥ 0.854, systolic blood pressure correlation with reference R ≥ 0.914) and high estimation accuracy in pulse pressure (mean root-mean-squared error ≤ 3.46 mmHg) and blood pressure (mean root-mean-squared error ≤ 6.31 mmHg for diastolic blood pressure and ≤ 8.41 mmHg for systolic blood pressure) over a wide range of hemodynamic changes.

conclusionThe proposed pulse pressure estimation method provides accurate estimates in situations with and without significant changes in stroke volume. The proposed method improves upon the currently available systolic blood pressure estimation methods by providing accurate pulse pressure estimates.

Indexed as

Pulse Wave AnalysisStroke VolumeAdultBlood Pressure DeterminationDiastoleFemaleHumansLinear ModelsMaleSystoleBlood pressurePre-ejection periodPulse pressurePulse transit timeStroke volumeUbiquitous healthcare

Identifiers

PMID29914491
PMCPMC6006984
OpenAlexW2807710063

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.