Evidence map›Paper›PMID 35356509›Full record

ArticleProceedings of the IEEE. Institute of Electrical and Electronics Engineers2022

Wearable Photoplethysmography for Cardiovascular Monitoring.

Peter H Charlton, Panicos A Kyriaco, Jonathan Mant, Vaidotas Marozas, Phil Chowienczyk, Jordi Alastruey

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the IEEE. Institute of Electrical and Electronics Engineers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed
11.4field-weighted citation impact, top 1% 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

84 citing papers in PubMed, 159 citations in OpenAlex.

  1. Article
  2. Real-Time SpOSensors (Basel, Switzerland) · 2026
    Article
  3. Validation of a Multimodal Wearable Device for Assessing Environmental and Behavioral Risk Factors of Myopia in Children and Adolescents.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
    Article
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  15. Article
  16. Vascular waveform analysis using Bayesian pulse deconvolution.bioRxiv : the preprint server for biology · 2026
    Article
  17. Review
  18. Article
  19. Article
  20. Article

24 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

6 authors at 4 institutions in 2 countries.

Panicos A KyriacoResearch Centre for Biomedical Engineering, City, University of London, London EC1V 0HB, U.K.ORCID https://orcid.org/0000-0002-2868-485X
Jonathan MantDepartment of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, U.K.ORCID https://orcid.org/0000-0002-9531-0268
Vaidotas MarozasDepartment of Electronics Engineering and the Biomedical Engineering Institute, Kaunas University of Technology, 44249 Kaunas, Lithuania.ORCID https://orcid.org/0000-0002-6879-5845
Phil ChowienczykDepartment of Clinical Pharmacology, King's College London, London SE1 7EH, U.K.ORCID https://orcid.org/0000-0003-4507-038X
Jordi AlastrueyDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, King's Health Partners, London SE1 7EU, U.K.ORCID https://orcid.org/0000-0003-3742-5259
City, University of London · GBKing's College London · GBKaunas University of Technology · LTUniversity of Cambridge · GB

Funding

British Heart Foundation FS/20/20/34626British Heart Foundation PG/15/104/31913British Heart Foundation SP/14/8/31352Wellcome Trust
6 · The paper itself

Abstract

Smart wearables provide an opportunity to monitor health in daily life and are emerging as potential tools for detecting cardiovascular disease (CVD). Wearables such as fitness bands and smartwatches routinely monitor the photoplethysmogram signal, an optical measure of the arterial pulse wave that is strongly influenced by the heart and blood vessels. In this survey, we summarize the fundamentals of wearable photoplethysmography and its analysis, identify its potential clinical applications, and outline pressing directions for future research in order to realize its full potential for tackling CVD.

Indexed as

Cardiovascular (CV)photoplethysmogram (PPG)pulse wavesensorsignal processingsmartwatch

Identifiers

PMID35356509
PMCPMC7612541
OpenAlexW4220840763

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.