Evidence map›Paper›PMID 38439889›Full record

ArticleHeliyon2024

Assessing heart rate and blood pressure estimation from image photoplethysmography using a digital blood pressure meter.

Suchin Trirongjitmoah, Arphorn Promking, Khanittha Kaewdang, Nisarut Phansiri, Kriengsak Treeprapin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

5 authors.

Suchin TrirongjitmoahDepartment of Electrical and Electronics Engineering, Faculty of Engineering, Ubon Ratchathani University, 85 Sathonlamark, Warinchamrab, Ubon Ratchathani 34190, Thailand.
Arphorn PromkingDepartment of Electrical and Electronics Engineering, Faculty of Engineering, Ubon Ratchathani University, 85 Sathonlamark, Warinchamrab, Ubon Ratchathani 34190, Thailand.
Khanittha KaewdangDepartment of Electrical and Electronics Engineering, Faculty of Engineering, Ubon Ratchathani University, 85 Sathonlamark, Warinchamrab, Ubon Ratchathani 34190, Thailand.
Nisarut PhansiriDepartment of Electrical and Electronics Engineering, Faculty of Engineering, Ubon Ratchathani University, 85 Sathonlamark, Warinchamrab, Ubon Ratchathani 34190, Thailand.
Kriengsak TreeprapinDepartment of Mathematics, Statistics and Computers, Faculty of Science, Ubon Ratchathani University, 85 Sathonlamark, Warinchamrab, Ubon Ratchathani 34190, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents a non-contact approach to measuring heart rate and blood pressure using an image photoplethysmography (iPPG) signal, and compares the results to those from an oscillometric blood pressure meter. Facial videos of 100 subjects were recorded via a webcam under ambient lighting conditions to extract iPPG signals. The results revealed a strong correlation between the heart rate derived from iPPG and that obtained from an oscillometric blood pressure meter. In addition, a continuous wavelet transform images with a 6-s duration were used as input for a custom convolutional neural network model, providing the most accurate blood pressure estimation. The proposed method received a grade A for diastolic and grade B for systolic blood pressure based on the British Hypertension Society's criteria. It also met the standards set by the Association for the Advancement of Medical Instrumentation. This non-contact framework shows promising potential for efficient screening purposes.

Indexed as

Blood pressureConvolutional neural networkHeart rateNon-contactWavelet transform

Identifiers

PMID38439889
PMCPMC10909774

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.