Evidence map›Paper›PMID 38388545›Full record

ArticleNature communications2024

Vision-driven metasurfaces for perception enhancement.

Tianshuo Qiu, Qiang An, Jianqi Wang, Jiafu Wang, Cheng-Wei Qiu, Shiyong Li, Hao Lv, Ming Cai, Jianyi Wang, Lin Cong and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
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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

11 authors.

Tianshuo Qiu *Department of Biomedical Engineering, Fourth Military Medical University, Xi'an, China.
Qiang An *Department of Biomedical Engineering, Fourth Military Medical University, Xi'an, China.
Jianqi WangDepartment of Biomedical Engineering, Fourth Military Medical University, Xi'an, China. fmmuwangjq@163.com.
Jiafu WangAerospace metamaterials laboratory of SuZhou National Laboratory, Suzhou, China. wangjiafu1981@126.com.ORCID 0000-0001-7151-6395
Cheng-Wei QiuDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore. chengwei.qiu@nus.edu.sg.ORCID 0000-0002-6605-500X
Shiyong LiSchool of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, China.
Hao LvDepartment of Biomedical Engineering, Fourth Military Medical University, Xi'an, China. fmmulvhao@fmmu.edu.cn.
Ming CaiFundamentals Department, Air Force Engineering University, Xi'an, China.
Jianyi WangDepartment of Neurology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Lin CongDepartment of Biomedical Engineering, Fourth Military Medical University, Xi'an, China.
Shaobo QuAerospace metamaterials laboratory of SuZhou National Laboratory, Suzhou, China. qushaobo@126.com.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62101589National Natural Science Foundation of China (National Science Foundation of China) 62301568
6 · The paper itself

Abstract

Metasurfaces have exhibited unprecedented degree of freedom in manipulating electromagnetic (EM) waves and thus provide fantastic front-end interfaces for smart systems. Here we show a framework for perception enhancement based on vision-driven metasurface. Human's eye movements are matched with microwave radiations to extend the humans' perception spectrum. By this means, our eyes can "sense" visual information and invisible microwave information. Several experimental demonstrations are given for specific implementations, including a physiological-signal-monitoring system, an "X-ray-glasses" system, a "glimpse-and-forget" tracking system and a speech reception system for deaf people. Both the simulation and experiment results verify evident advantages in perception enhancement effects and improving information acquisition efficiency. This framework can be readily integrated into healthcare systems to monitor physiological signals and to offer assistance for people with disabilities. This work provides an alternative framework for perception enhancement and may find wide applications in healthcare, wearable devices, search-and-rescue and others.

Indexed as

EyeEye MovementsComputer SimulationGlassHumansPerception

Identifiers

PMID38388545
PMCPMC10883922

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.