Evidence map›Paper›PMID 40619581›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Strain-Sensitive Thermochromic Smart Electronic Skin for Joint and Spine Healthcare Applications.

Shicheng Fan, Shuwen Chen, Zheng Qiao, Jiaming Qi, Zixiong Wu, Chwee Teck Lim

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Liquid Metal-Enabled Soft Bioelectronics for Human Health Monitoring.Small (Weinheim an der Bergstrasse, Germany) · 2026
    Review
  3. 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

6 authors.

Shicheng FanDepartment of Biomedical Engineering, National University of Singapore, Engineering Drive 3, Singapore, 117583, Singapore.
Shuwen ChenInstitute of Medical Equipment Science and Engineering, Huazhong University of Science and Technology, Luoyu Road 1037, Wuhan, 430074, China.
Zheng QiaoDepartment of Biomedical Engineering, National University of Singapore, Engineering Drive 3, Singapore, 117583, Singapore.
Jiaming QiDepartment of Biomedical Engineering, National University of Singapore, Engineering Drive 3, Singapore, 117583, Singapore.
Zixiong WuDepartment of Biomedical Engineering, National University of Singapore, Engineering Drive 3, Singapore, 117583, Singapore.
Chwee Teck LimDepartment of Biomedical Engineering, National University of Singapore, Engineering Drive 3, Singapore, 117583, Singapore.ORCID https://orcid.org/0000-0003-4019-9782

Funding

College of Design and Engineering, National University of Singapore A-0009363-03-00Institute for Health Innovation and Technology, National University of Singapore A-0001415-06-00National University of Singapore Society E-468-00-0012-01
6 · The paper itself

Abstract

Electronic skins (E-skins) that enable interactive and quantitative joint and spine healthcare hold transformative potential for personalized musculoskeletal rehabilitation. However, existing systems face three critical limitations: conventional strain sensors degrade with cyclic large strain due to uncontrolled crack propagation; thermal therapy lacks real-time adaptive control without feedback; and systems lack user-interactive monitoring-therapy integration. Here, iStretch, a mechano-visual-thermo adaptive e-skin is introduced that integrates durable strain sensing, dynamic heat therapy, and intuitive visual feedback via a multiphasic and bilayer architecture. The strain-sensing bottom layer utilises constrained microcrack propagation in graphene-liquid metal nanocomposites, achieving high sensitivity (GF = 281), broad sensing range (300%), and exceptional durability (10,000 cycles). Simultaneously, the thermoresponsive top layer provides dynamic visual feedback and heat modulation in response to strain. Its multifunctions are demonstrated for convolutional neural network-powered omnidirectional motion and gesture recognition, strain magnitude-adjusted thermotherapy, intuitive thermochromic overheating alerts, and quantitative cervical spine monitoring via wireless sensor arrays.

Indexed as

Wearable Electronic DevicesHumansSpinee‐skinliquid metalmachine learningmotion detectionthermochromicthermotherapy

Identifiers

PMID40619581
PMCPMC12499495

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.