Evidence map›Paper›PMID 40419488›Full record

ArticleMicrosystems & nanoengineering2025

A tough semi-dry hydrogel electrode with anti-bacterial properties for long-term repeatable non-invasive EEG acquisition.

Dongyang Wang, Hailing Xue, Long Xia, Zongqi Li, Yubo Zhao, Xinan Fan, Kai Sun, Huanan Wang, Timo Hamalainen, Chi Zhang and 4 more

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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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

14 authors.

Dongyang WangMOE Key Laboratory of Bio-Intelligent Manufacturing, School of Bioengineering, Dalian University of Technology, 116024, Dalian, China.
Hailing XueMOE Key Laboratory of Bio-Intelligent Manufacturing, School of Bioengineering, Dalian University of Technology, 116024, Dalian, China.
Long XiaMOE Key Laboratory of Bio-Intelligent Manufacturing, School of Bioengineering, Dalian University of Technology, 116024, Dalian, China.
Zongqi LiMOE Key Laboratory of Bio-Intelligent Manufacturing, School of Bioengineering, Dalian University of Technology, 116024, Dalian, China.
Yubo ZhaoSchool of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, 116024, Dalian, China.
Xinan FanBeijing Institute of Mechanical Equipment, 100120, Beijing, China.
Kai SunMOE Key Laboratory of Bio-Intelligent Manufacturing, School of Bioengineering, Dalian University of Technology, 116024, Dalian, China.
Huanan WangMOE Key Laboratory of Bio-Intelligent Manufacturing, School of Bioengineering, Dalian University of Technology, 116024, Dalian, China.
Timo HamalainenFaculty of Information Technology, University of Jyvaskyla, 40014, Jyvaskyla, Finland.
Chi ZhangSchool of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, 116024, Dalian, China.
Fengyu CongSchool of Biomedical Engineering, Faculty of Medicine, Dalian University of Technology, 116024, Dalian, China.
Yanhua LiDepartment of International Medical Department, the Second Affiliated Hospital of Dalian Medical University, 116021, Dalian, China. m17709870057_1@163.com.
Fei SongDepartment of Neurosurgery, The Second Affiliated Hospital of Dalian Medical University, 116021, Dalian, China. songfei168@163.com.
Jiaqi LinMOE Key Laboratory of Bio-Intelligent Manufacturing, School of Bioengineering, Dalian University of Technology, 116024, Dalian, China. jqlin@dlut.edu.cn.ORCID http://orcid.org/0000-0002-7015-8992

Funding

Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2022 ZD0210700
6 · The paper itself

Abstract

Non-invasive brain-computer interfaces (NI-BCIs) have garnered significant attention due to their safety and wide range of applications. However, developing non-invasive electroencephalogram (EEG) electrodes that are highly sensitive, comfortable to wear, and reusable has been challenging due to the limitations of conventional electrodes. Here, we introduce a simple method for fabricating semi-dry hydrogel EEG electrodes with antibacterial properties, enabling long-term, repeatable acquisition of EEG. By utilizing N-acryloyl glycinamide and hydroxypropyltrimethyl ammonium chloride chitosan, we have prepared electrodes that not only possess good mechanical properties (compression modulus 65 kPa) and anti-fatigue properties but also exhibit superior antibacterial properties. These electrodes effectively inhibit the growth of both Gram-negative (E. coli) and Gram-positive (S. epidermidis) bacteria. Furthermore, the hydrogel maintains stable water retention properties, resulting in an average contact impedance of <400 Ω measured over 12 h, and an ionic conductivity of 0.39 mS cm

Identifiers

PMID40419488
PMCPMC12106760

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.