Evidence map›Paper›PMID 30274376›Full record

ArticleJournal of clinical medicine2018

Can Photoplethysmography Replace Arterial Blood Pressure in the Assessment of Blood Pressure?

Gloria Martínez, Newton Howard, Derek Abbott, Kenneth Lim, Rabab Ward, Mohamed Elgendi

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04379986 (Remote Blood Pressure Monitoring With the Wearable SENBIOSYS Photoplethysmographic Device), which is not on this map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
4.8field-weighted citation impact, top 4% 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.

NCT04379986 nacompletednot on this mapstarted 2020, after this paper: background citation

Remote Blood Pressure Monitoring With the Wearable SENBIOSYS Photoplethysmographic Device

TypeinterventionalSponsorStéphane Cook, ProfRan2020 to 2020Enrolled35ConditionsBlood PressureArmsSenbiosys
3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 131 citations in OpenAlex.

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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 3 institutions in 4 countries.

Gloria MartínezSchool of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC V6T 1Z4, Canada. ketherelohim@gmail.com.
Newton HowardNuffield Department of Surgical Sciences, University of Oxford, Oxford 450456, UK. newton.howard@nds.ox.ac.uk.ORCID 0000-0002-8503-3973
Derek AbbottSchool of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA 5005, Australia. derek.abbott@adelaide.edu.au.ORCID 0000-0002-0945-2674
Kenneth LimFaculty of Medicine, University of British Columbia, Vancouver, BC V1Y 1T3, Canada. klim@cw.bc.ca.
Rabab WardSchool of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC V6T 1Z4, Canada. rababw@ece.ubc.ca.
Mohamed ElgendiSchool of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC V6T 1Z4, Canada. moe.elgendi@gmail.com.ORCID 0000-0003-1831-0202
University of British Columbia · CAThe University of Adelaide · AUUniversity of Oxford · GB

Funding

BC Children's Hospital Research Institute 00
6 · The paper itself

Abstract

Arterial Blood Pressure (ABP) and photoplethysmography (PPG) are both useful techniques to monitor cardiovascular status. Though ABP monitoring is more widely employed, this procedure of signal acquisition whether done invasively or non-invasively may cause inconvenience and discomfort to the patients. PPG, however, is simple, noninvasive, and can be used for continuous measurement. This paper focuses on analyzing the similarities in time and frequency domains between ABP and PPG signals for normotensive, prehypertensive and hypertensive subjects and the feasibility of the classification of subjects considering the results of the analysis performed. From a database with 120 records of ABP and PPG, each 120 s in length, the records where separated into epochs taking into account 10 heartbeats, and the following statistical measures were performed: Correlation (

Indexed as

blood pressure monitoringdigital medicineglobal healthpulse arrival timepulse morphologypulse oximeterwearable devices

Identifiers

PMID30274376
PMCPMC6209968
OpenAlexW2892649144

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.