Evidence map›Paper›PMID 34945371›Full record

ReviewMicromachines2021

State of the Art of Non-Invasive Electrode Materials for Brain-Computer Interface.

Haowen Yuan, Yao Li, Junjun Yang, Hongjie Li, Qinya Yang, Cuiping Guo, Shenmin Zhu, Xiaokang Shu

Abstract readReview
In one paragraph

Review in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Imagined speech classification exploiting EEG power spectrum features.Medical & biological engineering & computing · 2024
    Article
  11. Article
  12. Review
  13. Article
  14. Non-invasive brain imaging to advance the understanding of human balance.Current opinion in biomedical engineering · 2023
    Article
  15. Article
  16. Review
  17. Article
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

8 authors.

Haowen YuanState Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai 200240, China.
Yao LiState Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0002-5552-2282
Junjun YangState Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai 200240, China.
Hongjie LiState Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai 200240, China.
Qinya YangState Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai 200240, China.
Cuiping GuoState Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai 200240, China.
Shenmin ZhuState Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai 200240, China.
Xiaokang ShuSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

Funding

Key Program for International S&T Cooperation Program of China 2017YFE0113000Medical-Engineering Cross Research Funding of SJTU YG2017QN11National Key R&D Program of China 2016YFA0202900National Natural Science Foundation of China 51572169National Natural Science Foundation of China 51672173National Natural Science Foundation of China 51801121National Natural Science Foundation of China 51902200National Natural Science Foundation of China 52005321Science and Technology Commission of Shanghai Municipality 17JC1400700Science and Technology Commission of Shanghai Municipality 18520744700Science and Technology Commission of Shanghai Municipality 18JC1410500Science and Technology Commission of Shanghai Municipality 18ZR1421000Science and Technology Commission of Shanghai Municipality 19ZR1425300Science and Technology Planning Project of Guangdong Province 2016A010103018Shanghai Research Institute of Criminal Science and Technology 2016XCWZK15
6 · The paper itself

Abstract

The brain-computer interface (BCI) has emerged in recent years and has attracted great attention. As an indispensable part of the BCI signal acquisition system, brain electrodes have a great influence on the quality of the signal, which determines the final effect. Due to the special usage scenario of brain electrodes, some specific properties are required for them. In this study, we review the development of three major types of EEG electrodes from the perspective of material selection and structural design, including dry electrodes, wet electrodes, and semi-dry electrodes. Additionally, we provide a reference for the current chaotic performance evaluation of EEG electrodes in some aspects such as electrochemical performance, stability, and so on. Moreover, the challenges and future expectations for EEG electrodes are analyzed.

Indexed as

brain-electrode interfacedry electrodesEEG electrodessemi-dry electrodeswet electrodes

Identifiers

PMID34945371
PMCPMC8705666

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.