Evidence map›Paper›PMID 40901956›Full record

ArticleScience advances2025

Wireless, wearable elastography via mechano-acoustic wave sensing for ambulatory monitoring of tissue stiffness.

Chenhang Li, Heling Wang, Ziwu Song, Wei Zhang, Yuxin Pan, Zihao Zhao, Chaorui Qiu, Kaiping Yin, Mengdi Han, Allison Bingqing Wang and 12 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  4. 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

22 authors.

Chenhang LiDepartment of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA.ORCID 0000-0001-5982-7908
Heling WangLaboratory of Flexible Electronics Technology, Tsinghua University, Beijing 100084, China.ORCID 0000-0001-7859-5153
Ziwu SongDepartment of Materials Science and Engineering, National University of Singapore, Singapore 117575, Singapore.ORCID 0000-0002-9234-1800
Wei ZhangDepartment of Materials Science and Engineering, National University of Singapore, Singapore 117575, Singapore.
Yuxin PanDepartment of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA.ORCID 0000-0002-0303-1190
Zihao ZhaoShenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.ORCID 0000-0001-7173-3226
Chaorui QiuDepartment of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA.
Kaiping YinDepartment of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA.ORCID 0009-0000-2436-9572
Mengdi HanQuerry Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.ORCID 0000-0002-7552-7398
Allison Bingqing WangDepartment of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL 60611, USA.ORCID 0000-0002-0660-9138
Haiwen LuanQuerry Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.ORCID 0000-0003-0722-1108
Jiahong LiDepartment of Material Science and Engineering, Northwestern University, Evanston, IL 60208, USA.ORCID 0000-0001-7938-9589
Wenyuan YanDepartment of Material Science and Engineering, Northwestern University, Evanston, IL 60208, USA.ORCID 0009-0008-8260-6685
Shulin ChenDepartment of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA.ORCID 0000-0002-0280-1536
Haixu ShenDepartment of Material Science and Engineering, Northwestern University, Evanston, IL 60208, USA.
Tzu-Li LiuDepartment of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA.
Sabrina S M LeeDepartment of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL 60611, USA.
Wenbo DingShenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.ORCID 0000-0002-0597-4512
Yonggang HuangDepartment of Civil and Environmental Engineering, Northwestern University, Evanston, IL 60208, USA.ORCID 0000-0002-0483-8359
John A RogersQuerry Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.ORCID 0000-0002-3830-5980
Changsheng WuDepartment of Materials Science and Engineering, National University of Singapore, Singapore 117575, Singapore.ORCID 0000-0002-0921-6356
Xiaoyue NiDepartment of Mechanical Engineering and Material Science, Duke University, Durham, NC 27708, USA.ORCID 0000-0002-1822-1122

Funding

The Center for Label-free Imagingand Multiscale Biophotonics (CLIMB)P41EB031772 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Stephen A Boppart · 2022 to 2026
$7.6M
Wearable elastography for ambulatory monitoring of tissue mechanicsR21EB034973 · NIBIB · DUKE UNIVERSITY · PI NI, XIAOYUE · 2023 to 2023
$595k
NIBIB NIH HHS P41 EB031772NIBIB NIH HHS R21 EB034973
6 · The paper itself

Abstract

Assessing the mechanical properties of soft tissues holds broad clinical relevance. Advances in flexible electronics offer possibilities for wearable monitoring of tissue stiffness. However, existing technologies often rely on tethered setups or require frequent calibration, restricting their use in ambulatory environments. This study introduces a mechano-acoustic wave sensing technology for automated, wireless elastography. The patch-form sensor maintains conformal contact with the skin, regardless of body motion or deformation. It provides continuous, depth-sensitive estimation of subcutaneous tissue stiffness through real-time surface wave dispersion analysis. Theoretical and experimental investigations on phantom materials and tissues spanning a wide range of Young's modulus (in kilopascals to megapascals) demonstrate the capability of the device to rapidly and robustly evaluate the stiffness at depths up to several centimeters. The device shows compatibility with various tissue models, with results consistent with in-parallel ultrasound elastography measurements. Deployment of the device during exercises confirms its viability for ambulatory monitoring, enabling continuous assessment of variation in tissue stiffness.

Indexed as

Elasticity Imaging TechniquesWearable Electronic DevicesWireless TechnologyElastic ModulusHumansPhantoms, Imaging

Identifiers

PMID40901956
PMCPMC12407073

What OpenQuestion holds

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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.