Evidence map›Paper›PMID 37323690›Full record

ArticleExploration (Beijing, China)2021

Advances in 4D-printed physiological monitoring sensors.

M A Parvez Mahmud, Trinny Tat, Xiao Xiao, Partho Adhikary, Jun Chen

Abstract read
In one paragraph

Article in Exploration (Beijing, China), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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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.

M A Parvez MahmudSchool of Engineering Deakin University Geelong Victoria Australia.
Trinny TatDepartment of Bioengineering University of California, Los Angeles Los Angeles California USA.
Xiao XiaoDepartment of Bioengineering University of California, Los Angeles Los Angeles California USA.ORCID https://orcid.org/0000-0002-7861-5596
Partho AdhikaryDepartment of Biomedical Engineering, Khulna University of Engineering & Technology Khulna Bangladesh.
Jun ChenDepartment of Bioengineering University of California, Los Angeles Los Angeles California USA.ORCID https://orcid.org/0000-0002-3439-0495

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physiological monitoring sensors have been critical in diagnosing and improving the healthcare industry over the past 30 years, despite various limitations regarding providing differences in signal outputs in response to the changes in the user's body. Four-dimensional (4D) printing has been established in less than a decade; therefore, it currently offers limited resources and knowledge. Still, the technique paves the way for novel platforms in today's ever-growing technologies. This innovative paradigm of 4D printing physiological monitoring sensors aspires to provide real-time and continuous diagnoses. In this perspective, we cover the advancements currently available in the 4D printing industry that has arisen in the last septennium, focusing on the overview of 4D printing, its history, and both wearable and implantable physiological sensing solutions. Finally, we explore the current challenges faced in this field, translational research, and its future prospects. All of these aims highlight key areas of attention that can be applied by future researchers to fully transform 4D printed physiological monitoring sensors into more viable medical products.

Indexed as

4D printingpersonalized healthcarephysiological monitoring

Identifiers

PMID37323690
PMCPMC10191037

What OpenQuestion holds

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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.