Evidence map›Paper›PMID 41002331›Full record

ReviewBiosensors2025

Review of Pulsation Signal Detection and Applications in Dynamic Photoacoustic Imaging.

Wenhan Zheng, Chuqin Huang, Jun Xia

Abstract readReview
In one paragraph

Review in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Wenhan ZhengDepartment of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, NY 14260, USA.ORCID 0000-0003-3639-5158
Chuqin HuangDepartment of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, NY 14260, USA.ORCID 0000-0001-6377-2188
Jun XiaDepartment of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, NY 14260, USA.ORCID 0000-0002-9864-7835

Funding

Development of photoacoustic tomography for non-invasive, label-free imaging of tissue perfusion in chronic woundsR01EB028978 · NIBIB · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI XIA, JUN · 2021 to 2024
$1.6M
Multiparametric photoacoustic and ultrasonic imaging of the breast in cranial-caudal viewR01EB029596 · NIBIB · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI XIA, JUN · 2020 to 2023
$1.4M
NIBIB NIH HHS R01 EB028978NIBIB NIH HHS R01 EB029596NIH HHS R01EB028978, R01EB029596
6 · The paper itself

Abstract

Pulsatile signal detection plays an important role in monitoring various physiological parameters, primarily heart rate and blood oxygen saturation. Their applications range from clinical settings to personal health and wellness monitoring. PPG (photoplethysmography) can provide non-invasive optical measurements to detect blood volume changes in peripheral tissues. Yet, it suffers from low spatial resolution to precisely detect the pulsatile signal originating over 2 mm in human tissue. Ultrasound (US) provides a deep detectable range compared to the pure optical method. However, its low contrast to red blood cells and cluster artifacts makes it only detect the indirect pulsation from the surrounding tissue of blood vessels. Recent advances in PA imaging show its capability to precisely measure pulsatile signals originating from blood vessels in deep regions (over 10 mm) and its potential to accurately record blood oxygen saturation with high spatial and temporal resolution. This review article summarizes studies on photoacoustic (PA) pulsatile signal monitoring, highlights the technical advances, and compares it against optical and ultrasonic approaches.

Indexed as

Photoacoustic TechniquesHumanshemodynamicsphotoacoustic imagingPPGpulsatile signal monitoring

Identifiers

PMID41002331
PMCPMC12467494

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.