Recent Progress in Blood Flow Sensing.

Ruitong Chen, Jingjing Liang, Max Li, Ellis Meng

Abstract read

In one paragraph

Article in Sensors and actuators. A, Physical, 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

4 authors.

Ruitong ChenAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles CA 90089.

Jingjing LiangAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles CA 90089.

Max LiAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles CA 90089.

Ellis MengAlfred E. Mann Department of Biomedical Engineering, University of Southern California, Los Angeles CA 90089.

Funding

Flexible bioelectronic sensors for non-contact detection of obstruction in pediatric vascular shuntsR21EB028399 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MENG, ELLIS · 2020 to 2021

$477k

NIBIB NIH HHS R21 EB028399

6 · The paper itself

Abstract

Blood plays a central role in the maintenance of the human body, and monitoring its flow rate, either invasively or non-invasively, in different parts of the circulatory is essential in the diagnosis and treatment of patients and for advancing biomedical research. This review examines the history and challenges of blood flow sensing and highlights the current state-of-the art blood flowmeters alongside the emerging tools poised to realize continuous and real-time monitoring. The clinical requirements for designing blood flow sensors are considered, including where the sensors are interfaced and their signal transduction mechanisms. Finally, the existing technological gaps are discussed and potential pathways to allow for further optimization are explored. Continued innovations in the several hundred years of evolution of blood flow sensing technology are poised to provide more timely interventions related to maintaining proper blood flow for improving patient care and outcomes.

Indexed as

blood flow sensingimplantable flow sensormicroelectromechanical systems (MEMS)wearable flow sensor

Identifiers

PMID40213382

DOI10.1016/j.sna.2025.116457

PMCPMC11981604

What OpenQuestion holds

Textmetadata

LicenceTDM

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.