Evidence map›Paper›PMID 35300400›Full record

ReviewFrontiers in physiology2021

Photoplethysmogram Analysis and Applications: An Integrative Review.

Junyung Park, Hyeon Seok Seok, Sang-Su Kim, Hangsik Shin

Registry-linked trialAbstract readReview
In one paragraph

Review in Frontiers in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05400421 (Validation of Photoplethysmography Device for the Measurement of Aortic Pulse Wave Velocity Against Carotid-Femoral Values From Piezoelectric Sensors), which is not on this map. Cited by 142 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
142citing papers in PubMed, 1 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.

NCT05400421 unknown statusnot on this mapstarted 2022, after this paper: background citation

Validation of Photoplethysmography Device for the Measurement of Aortic Pulse Wave Velocity Against Carotid-Femoral Values From Piezoelectric Sensors

TypeobservationalSponsorVitalSines International Inc.Ran2022 to 2022Enrolled180ConditionsAortic Pulse Wave VelocityArmsSystem & Method for Monitoring Aortic Pulse Wave Velocity & Blood Pressure
3 · Its place in the literature

Who cites it

142 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Real-Time SpOSensors (Basel, Switzerland) · 2026
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82 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

4 authors.

Junyung ParkDepartment of Biomedical Engineering, Chonnam National University, Yeosu, South Korea.
Hyeon Seok SeokDepartment of Biomedical Engineering, Chonnam National University, Yeosu, South Korea.
Sang-Su KimDepartment of Biomedical Engineering, Chonnam National University, Yeosu, South Korea.
Hangsik ShinDepartment of Convergence Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Beyond its use in a clinical environment, photoplethysmogram (PPG) is increasingly used for measuring the physiological state of an individual in daily life. This review aims to examine existing research on photoplethysmogram concerning its generation mechanisms, measurement principles, clinical applications, noise definition, pre-processing techniques, feature detection techniques, and post-processing techniques for photoplethysmogram processing, especially from an engineering point of view. We performed an extensive search with the PubMed, Google Scholar, Institute of Electrical and Electronics Engineers (IEEE), ScienceDirect, and Web of Science databases. Exclusion conditions did not include the year of publication, but articles not published in English were excluded. Based on 118 articles, we identified four main topics of enabling PPG: (A) PPG waveform, (B) PPG features and clinical applications including basic features based on the original PPG waveform, combined features of PPG, and derivative features of PPG, (C) PPG noise including motion artifact baseline wandering and hypoperfusion, and (D) PPG signal processing including PPG preprocessing, PPG peak detection, and signal quality index. The application field of photoplethysmogram has been extending from the clinical to the mobile environment. Although there is no standardized pre-processing pipeline for PPG signal processing, as PPG data are acquired and accumulated in various ways, the recently proposed machine learning-based method is expected to offer a promising solution.

Indexed as

bio-signal processingmotion artifactsnoise reductionphotoplethysmographyphysiological measurementphysiological signalsignal quality assessment

Identifiers

PMID35300400
PMCPMC8920970

What OpenQuestion holds

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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.