Evidence map›Paper›PMID 41163801›Full record

ArticleExploration (Beijing, China)2025

A 3.55-µm Ultrathin, Skin-Like Mechanoresponsive, Compliant, and Seamless Ionic Conductive Electrode for Epidermal Electrophysiological Signal Acquisition and Human-Machine Interaction.

Likun Zhang, Peiwu Qin, Huazhang Ying, Zhicheng Du, Chenying Lu, Minjiang Chen, Liyan Lei, Ziwu Song, Jiaju Chen, Xi Yuan and 11 more

Abstract read
In one paragraph

Article in Exploration (Beijing, China), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. AI-powered the toughest biohydrogels.Bioactive materials · 2026
    Article
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  4. 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

21 authors.

Likun ZhangShenzhen International Graduate School Tsinghua University Shenzhen China.
Peiwu QinTsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen China.
Huazhang YingShenzhen International Graduate School Tsinghua University Shenzhen China.
Zhicheng DuTsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen China.
Chenying LuZhejiang Key Laboratory of Imaging and Interventional Medicine, Zhejiang Engineering Research Center of Interventional Medicine Engineering and Biotechnology The Fifth Affiliated Hospital of Wenzhou Medical University Lishui China.
Minjiang ChenZhejiang Key Laboratory of Imaging and Interventional Medicine, Zhejiang Engineering Research Center of Interventional Medicine Engineering and Biotechnology The Fifth Affiliated Hospital of Wenzhou Medical University Lishui China.
Liyan LeiZhejiang Key Laboratory of Imaging and Interventional Medicine, Zhejiang Engineering Research Center of Interventional Medicine Engineering and Biotechnology The Fifth Affiliated Hospital of Wenzhou Medical University Lishui China.
Ziwu SongShenzhen International Graduate School Tsinghua University Shenzhen China.
Jiaju ChenShenzhen International Graduate School Tsinghua University Shenzhen China.
Xi YuanShenzhen International Graduate School Tsinghua University Shenzhen China.
Canhui YangSoft Mechanics Lab, Department of Mechanics and Aerospace Engineering Southern University of Science and Technology Shenzhen China.
Vijay PandeyShenzhen International Graduate School Tsinghua University Shenzhen China.
Can Yang ZhangInstitute of Biopharmaceutical and Health Engineering, Shenzhen International Graduate School Tsinghua University Shenzhen Guangdong China.
Dongmei YuZhejiang Key Laboratory of Imaging and Interventional Medicine, Zhejiang Engineering Research Center of Interventional Medicine Engineering and Biotechnology The Fifth Affiliated Hospital of Wenzhou Medical University Lishui China.
Peisheng HeDepartment of Mechanical Engineering University of California Berkeley California USA.
Liwei LinTsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen China.
Wenbo DingShenzhen International Graduate School Tsinghua University Shenzhen China.
Xinhui XingShenzhen International Graduate School Tsinghua University Shenzhen China.
Chenggang YanLishui Institute of Hangzhou Dianzi University Lishui Zhejiang Province China.
Jiansong JiZhejiang Key Laboratory of Imaging and Interventional Medicine, Zhejiang Engineering Research Center of Interventional Medicine Engineering and Biotechnology The Fifth Affiliated Hospital of Wenzhou Medical University Lishui China.
Zhenglin ChenZhejiang Key Laboratory of Imaging and Interventional Medicine, Zhejiang Engineering Research Center of Interventional Medicine Engineering and Biotechnology The Fifth Affiliated Hospital of Wenzhou Medical University Lishui China.ORCID https://orcid.org/0009-0007-9229-9693

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Flexible ionic conductive electrodes, as a fundamental component for electrical signal transmission, play a crucial role in skin-surface electronic devices. Developing a skin-seamlessly electrode that can effectively capture long-term, artifact-free, and high-quality electrophysiological signals remains a challenge. Herein, we report an ultra-thin and dry electrode consisting of deep eutectic solvent (DES) and zwitterions (CEAB), which exhibit significantly lower reactance and noise in both static and dynamic monitoring compared to standard Ag/AgCl gel electrodes. Our electrodes have skin-like mechanical properties (strain-rigidity relationship and flexibility), outstanding adhesion, and high electrical conductivity. Consequently, they excel in consistently capturing high-quality epidermal biopotential signals, such as the electrocardiogram (ECG), electromyogram (EMG), and electroencephalogram (EEG) signals. Furthermore, we demonstrate the promising potential of the electrodes in clinical applications by effectively distinguishing aberrant EEG signals associated with depressive patients. Meanwhile, through the integration of CEAB electrodes with digital processing and advanced algorithms, valid gesture control of artificial limbs based on EMG signals is achieved, highlighting its capacity to significantly enhance human-machine interaction.

Indexed as

artifact‐freedepression detectiongesture recognitionskin‐like electrodeultrathin

Identifiers

PMID41163801
PMCPMC12561302

What Socratic 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 Socratic graph.