Evidence map›Paper›PMID 39640986›Full record

ArticleNpj flexible electronics2024

Digitally-defined ultrathin transparent wireless sensor network for room-scale imperceptible ambient intelligence.

Yunxia Jin, Mengxia Yu, Dat T Nguyen, Xin Yang, Zhipeng Li, Ze Xiong, Chenhui Li, Yuxin Liu, Yong Lin Kong, John S Ho

Abstract read
In one paragraph

Article in Npj flexible electronics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. [Progress in electric field assisted molecular imprinting technology].Se pu = Chinese journal of chromatography · 2026
    Review
  4. Unperceivable Designs of Wearable Electronics.Advanced materials (Deerfield Beach, Fla.) · 2025
    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

10 authors.

Yunxia JinInstitute for Health Innovation and Technology, National University of Singapore, Singapore 117599, Singapore.
Mengxia YuDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore.ORCID 0000-0002-0973-7952
Dat T NguyenInstitute for Health Innovation and Technology, National University of Singapore, Singapore 117599, Singapore.ORCID 0000-0003-2750-3145
Xin YangDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore.
Zhipeng LiDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore.ORCID 0000-0002-8139-2522
Ze XiongInstitute for Health Innovation and Technology, National University of Singapore, Singapore 117599, Singapore.ORCID 0000-0003-4620-6066
Chenhui LiDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore.
Yuxin LiuInstitute for Health Innovation and Technology, National University of Singapore, Singapore 117599, Singapore.
Yong Lin KongDepartment of Mechanical Engineering, University of Utah, Salt Lake City, UT 84112, USA.
John S HoInstitute for Health Innovation and Technology, National University of Singapore, Singapore 117599, Singapore.ORCID 0000-0002-9458-9033

Funding

Ingestible gastric-resident electronic metamaterials architecture (iGEM) for the treatment of obesityR01EB032959 · NIBIB · UNIVERSITY OF UTAH · PI KONG, YONG LIN · 2022 to 2025
$1.4M
3D printed resonant-enhanced sensors (PRES) for total joint arthroplastiesR21EB029563 · NIBIB · UNIVERSITY OF UTAH · PI KONG, YONG LIN · 2020 to 2020
$606k
NIBIB NIH HHS R01 EB032959NIBIB NIH HHS R21 EB029563
6 · The paper itself

Abstract

Wireless and battery-free radio-frequency (RF) sensors can be used to create physical spaces that ambiently sense and respond to human activities. Making such sensors ultra-flexible and transparent is important to preserve the aesthetics of living environments, accommodate daily activities, and functionally integrate with objects. However, existing RF sensors are unable to simultaneously achieve high transparency, flexibility, and the electrical conductivity required for remote room-scale operation. Here, we report 4.5 μm RF tag sensors achieving transparency exceeding 90% that provide capabilities in room-scale ambient wireless sensing. We develop a laser-assisted water-based adhesion-reversion process to digitally realize computer-aided RF design at scale. By individually tagging multiple objects and regions of the human body, we demonstrate multiplexed wireless tracking of human-environment interactions and physiological signals at a range of up to 8 m. These radio-frequency identification sensors open opportunities for non-intrusive wireless sensing of daily living spaces for applications in health monitoring and elderly care.

Identifiers

PMID39640986
PMCPMC11619817

What OpenQuestion holds

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LicenceCC BY
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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.