Evidence map›Paper›PMID 37520266›Full record

ArticleNpj flexible electronics2022

Multiscale and hierarchical wrinkle enhanced graphene/Ecoflex sensors integrated with human-machine interfaces and cloud-platform.

Jian Zhou, Xinxin Long, Jian Huang, Caixuan Jiang, Fengling Zhuo, Chen Guo, Honglang Li, YongQing Fu, Huigao Duan

Open access · goldAbstract read
In one paragraph

Article in Npj flexible electronics, 2022. 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
5.9field-weighted citation impact, top 3% of its field
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, 77 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Environmental and Ecological Monitoring with Biodegradable Technologies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Atomically thin bioelectronics.Nature reviews. Materials · 2024
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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

9 authors at 3 institutions in 2 countries.

Jian ZhouCollege of Mechanical and Vehicle Engineering, Hunan University, Changsha, 410082 China.ORCID 0000-0001-6660-5190
Xinxin LongCollege of Mechanical and Vehicle Engineering, Hunan University, Changsha, 410082 China.
Jian HuangCollege of Mechanical and Vehicle Engineering, Hunan University, Changsha, 410082 China.
Caixuan JiangCollege of Mechanical and Vehicle Engineering, Hunan University, Changsha, 410082 China.
Fengling ZhuoCollege of Mechanical and Vehicle Engineering, Hunan University, Changsha, 410082 China.
Chen GuoCollege of Mechanical and Vehicle Engineering, Hunan University, Changsha, 410082 China.
Honglang LiNational Center for Nanoscience and Technology, Beijing, 100190 China.
YongQing FuFaculty of Engineering and Environment, Northumbria University, Newcastle upon Tyne, NE1 8ST United Kingdom.
Huigao DuanCollege of Mechanical and Vehicle Engineering, Hunan University, Changsha, 410082 China.ORCID 0000-0001-9144-2864
Hunan University · CNNational Center for Nanoscience and Technology · CNNorthumbria University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current state-of-the-art stretchable/flexible sensors have received stringent demands on sensitivity, flexibility, linearity, and wide-range measurement capability. Herein, we report a methodology of strain sensors based on graphene/Ecoflex composites by modulating multiscale/hierarchical wrinkles on flexible substrates. The sensor shows an ultra-high sensitivity with a gauge factor of 1078.1, a stretchability of 650%, a response time of ~140 ms, and a superior cycling durability. It can detect wide-range physiological signals including vigorous body motions, pulse monitoring and speech recognition, and be used for monitoring of human respirations in real-time using a cloud platform, showing a great potential for the healthcare internet of things. Complex gestures/sign languages can be precisely detected. Human-machine interface is demonstrated by using a sensor-integrated glove to remotely control an external manipulator to remotely defuse a bomb. This study provides strategies for real-time/long-range medical diagnosis and remote assistance to perform dangerous tasks in industry and military fields.

Indexed as

Chemical engineeringSensors

Identifiers

PMID37520266
PMCPMC9255543
OpenAlexW4283813694

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.