Evidence map›Paper›PMID 42750198›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Geometry-Encoded Soft Strain Sensing via Liquid-Metal Transmission Lines.

Zhang Liu, Fengdeng Jin, Wenxuan Shi, Meng She, Ziqi Meng, Miao Fang, Yixin Zhang, Qianwen Dong, Wandi Yang, Lei Shi and 3 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Zhang Liu *School of Aerospace Science and Technology, Xidian University, Xi'an, China.
Fengdeng Jin *School of Aerospace Science and Technology, Xidian University, Xi'an, China.
Wenxuan Shi *School of Aerospace Science and Technology, Xidian University, Xi'an, China.ORCID https://orcid.org/0009-0006-5109-1717
Meng SheHonghui Hospital, Xi'an Jiaotong University, Xi'an, China.
Ziqi MengSchool of Electronic Engineering, Xidian University, Xi'an, China.
Miao FangSchool of Mechano-Electronic Engineering, Xidian University, Xi'an, China.
Yixin ZhangSchool of Aerospace Science and Technology, Xidian University, Xi'an, China.
Qianwen DongSchool of Optoelectronic Engineering, Xidian University, Xi'an, China.
Wandi YangSchool of Mechano-Electronic Engineering, Xidian University, Xi'an, China.
Lei ShiSchool of Aerospace Science and Technology, Xidian University, Xi'an, China.
Xujia ZhaoSchool of Electronic Engineering, Xidian University, Xi'an, China.
Feng ZhouSchool of Aerospace Science and Technology, Xidian University, Xi'an, China.
Bin YaoSchool of Aerospace Science and Technology, Xidian University, Xi'an, China.ORCID https://orcid.org/0000-0002-4554-586X

Funding

Innovation Capability Support Program of Shaanxi 2022TD-37Key Program of the National Natural Science Foundation of China 62371375Key Program of the National Natural Science Foundation of China U2530201National Natural Science Foundation of China 52303156Shaanxi Province Funds for Distinguished Young Youths S2025-JC-JQ-0103
6 · The paper itself

Abstract

Reliable strain sensing in soft systems remains challenging under mechanically complex conditions, where compression, folding, transverse deformation, and environmental perturbations often interfere with tensile-strain readout. Existing flexible strain sensors typically rely on amplitude-based electrical responses and therefore frequently require calibration, compensation, or signal reconstruction to isolate axial deformation. Here, we present a soft liquid-metal transmission-line sensor that directly encodes axial elongation into the time-of-flight of an electromagnetic pulse. Because the readout is governed by the total propagation path length, deformation modes that do not alter this path-including localized compression, folding, and biaxial transverse strain-produce negligible influence on the measured signal. The sensor exhibits linear strain response over a wide working range up to 400% strain, together with a strain-range-independent length resolution of 10 mm. Owing to its geometry-governed mechanism, the device enables self-referenced and calibration-free strain measurement with strong inter-device consistency, while maintaining stable operation under large pre-strain, cyclic loading, and irreversible deformation. Reliable sensing is further demonstrated on curved surfaces, wearable systems, inflatable structures, pneumatic artificial muscles, and task-level clinical tourniquet monitoring under dynamically varying deformation conditions. This work provides a robust and reconstruction-free strategy for strain sensing in soft electronics, wearable systems, and clinical healthcare.

Indexed as

decoupling sensingflexible electronicsliquid metalsstrain sensor

Identifiers

PMID42750198
PMCPMC13583088

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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.