Evidence map›Paper›PMID 41680173›Full record

ArticleNature communications2026

A self-powered hydrogel electronic skin with decoupled multimodal sensing for closed-loop human-machine interactions.

Chenhui Bai, Xinyu Dong, Quyang Liu, Ming Zhao, Kun Yang, Yu Niu, Hulin Zhang, Wei Zhai

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Advances in Nano-Enhanced Thermal Functional Materials.Nanomaterials (Basel, Switzerland) · 2026
    Article
  4. Review
  5. Review
  6. 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

8 authors.

Chenhui Bai *College of Integrated Circuits, Taiyuan University of Technology, Taiyuan, China.
Xinyu Dong *Department of Mechanical Engineering, National University of Singapore, Singapore, Singapore.
Quyang LiuDepartment of Mechanical Engineering, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0001-6049-3677
Ming ZhaoCollege of Integrated Circuits, Taiyuan University of Technology, Taiyuan, China.
Kun YangCollege of Integrated Circuits, Taiyuan University of Technology, Taiyuan, China.
Yu NiuCollege of Integrated Circuits, Taiyuan University of Technology, Taiyuan, China.
Hulin ZhangCollege of Integrated Circuits, Taiyuan University of Technology, Taiyuan, China. zhanghulin@tyut.edu.cn.ORCID http://orcid.org/0000-0003-4899-1491
Wei ZhaiDepartment of Mechanical Engineering, National University of Singapore, Singapore, Singapore. mpezwei@nus.edu.sg.ORCID http://orcid.org/0000-0003-2307-5243

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bridging biological and artificial systems, intelligent interfaces drive the demand for flexible electronics that emulate the skin's multifunctionality. However, achieving such multifunctionality in a compact, self-sustained form remains challenging, as multimodal sensors often rely on rigid materials, discrete components, and external power sources. Herein, this study presents a single-component poly(vinyl alcohol) hydrogel e-skin integrating thermogalvanic, piezoionic, and diffusion mechanisms for self-powered sensing of skin temperature, arterial pulsation, and sweat secretion, simultaneously. The hydrogel features high stretchability, low modulus, and a prismatic architecture synergizing ionic polarization. Moreover, a temporal machine learning model with local attention is developed to decouple multimodal signals. Of practical importance, an active multimodal signal generator wristband is developed as a multifunctional human-machine interface for physiological detection, robotic control, and haptic feedback reproduction. Hence, this hydrogel e-skin represents an efficient material platform for intelligent interactions, showing broad potential for real-time health monitoring, robotic control, and virtual reality.

Indexed as

HydrogelsMan-Machine SystemsWearable Electronic DevicesHumansMachine LearningPolyvinyl AlcoholRoboticsSkinSkin TemperatureSweatHydrogelsPolyvinyl Alcohol

Identifiers

PMID41680173
PMCPMC13009196

What OpenQuestion 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 OpenQuestion graph.