Evidence map›Paper›PMID 31388564›Full record

ReviewNPJ digital medicine2019

The use of photoplethysmography for assessing hypertension.

Mohamed Elgendi, Richard Fletcher, Yongbo Liang, Newton Howard, Nigel H Lovell, Derek Abbott, Kenneth Lim, Rabab Ward

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in NPJ digital medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 217 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
217citing papers in PubMed, 6 pooled it
–field-weighted citation impact
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

217 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Guideline
  5. Automated Detection of Hypertension Using Physiological Signals: A Review.International journal of environmental research and public health · 2021
    Pooled it
  6. Pooled it
  7. Trial
  8. Article
  9. Article
  10. Article
  11. Wearable Flexible Sensors for Cardiovascular Disease Monitoring.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Intrinsic PPG-ECG Coupling for Accurate and Low-Power Blood Pressure Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  18. Article
  19. Observational
  20. Review

157 more citing papers are in PubMed but not listed here.

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

8 authors.

Mohamed Elgendi1School of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada.ORCID 0000-0003-1831-0202
Richard Fletcher4D-Lab, Massachusetts Institute of Technology, Cambridge, MA USA.
Yongbo Liang1School of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada.
Newton Howard6Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
Nigel H Lovell8Graduate School of Biomedical Engineering, UNSW Sydney, Sydney, NSW Australia.
Derek Abbott9School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA Australia.ORCID 0000-0002-0945-2674
Kenneth Lim2Department of Obstetrics & Gynecology, University of British Columbia, Vancouver, Canada.
Rabab Ward1School of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The measurement of blood pressure (BP) is critical to the treatment and management of many medical conditions. High blood pressure is associated with many chronic disease conditions, and is a major source of mortality and morbidity around the world. For outpatient care as well as general health monitoring, there is great interest in being able to accurately and frequently measure BP outside of a clinical setting, using mobile or wearable devices. One possible solution is photoplethysmography (PPG), which is most commonly used in pulse oximetry in clinical settings for measuring oxygen saturation. PPG technology is becoming more readily available, inexpensive, convenient, and easily integrated into portable devices. Recent advances include the development of smartphones and wearable devices that collect pulse oximeter signals. In this article, we review (i) the state-of-the-art and the literature related to PPG signals collected by pulse oximeters, (ii) various theoretical approaches that have been adopted in PPG BP measurement studies, and (iii) the potential of PPG measurement devices as a wearable application. Past studies on changes in PPG signals and BP are highlighted, and the correlation between PPG signals and BP are discussed. We also review the combined use of features extracted from PPG and other physiological signals in estimating BP. Although the technology is not yet mature, it is anticipated that in the near future, accurate, continuous BP measurements may be available from mobile and wearable devices given their vast potential.

Indexed as

Data integrationDiagnostic markersElectrocardiography - EKGPredictive markersStatistical methods

Identifiers

PMID31388564
PMCPMC6594942

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.