Evidence map›Paper›PMID 42600029›Full record

ArticleScience advances2026

Embroidered textile sensors for real-time multiaxial force mapping in prosthetics.

Tianhao Yu, Axel González Cornejo, Hyeonseo Joo, Ziheng Wang, Yumin Dai, Edgar Bolívar-Nieto, Chi Hwan Lee

Abstract read
In one paragraph

Article in Science advances, 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
–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

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

7 authors.

Tianhao YuSchool of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0001-9637-352X
Axel González CornejoDepartment of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556, USA.ORCID 0009-0008-9199-7147
Hyeonseo JooWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, USA.ORCID 0009-0008-1800-1227
Ziheng WangSchool of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA.
Yumin DaiSchool of Materials Engineering, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0003-3141-9384
Edgar Bolívar-NietoDepartment of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556, USA.ORCID 0000-0001-7697-4387
Chi Hwan LeeSchool of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0002-4868-7054

Funding

Towards Physical-Interface Pressure Monitoring Outside the Laboratory with Lower-Limb Electronic Clothing and Robust OptimizationR21EB034879 · NIBIB · UNIVERSITY OF NOTRE DAME · PI Edgar Alberto Bolívar-Nieto · 2024 to 2026
$621k
NIBIB NIH HHS R21 EB034879
6 · The paper itself

Abstract

Real-time monitoring of pressure and shear forces at the limb-socket interface is essential for optimizing prosthetic fit, comfort, and skin health. Shear forces, in particular, can aggravate irritation and cause ulceration near bony prominences, making their detection as important as pressure. However, current in-socket sensing systems-typically based on strain gages, piezoresistive films, or optical mechanisms-remain largely limited to normal pressure detection and often rely on socket modifications or rigid multilayered components, constraining seamless integration with the compliant limb-socket interface. Here, we present textile prosthetic sheaths with machine-embroidered sensor arrays that achieve simultaneous, real-time monitoring of normal and shear forces. The system wirelessly streams data for three-dimensional pressure mapping and incorporates an embroidered electroluminescent display for intuitive, on-body visual feedback. Testing with a transtibial prosthetic user demonstrated the ability to capture dynamic pressure and shear distributions during daily activities, with ground reaction and acceleration data providing complementary insights into gait symmetry and limb dynamics. These results establish embroidered textile sensors as a practical route to improving prosthetic fit, comfort, and gait stability and highlight their broader potential in rehabilitation robotics and human-machine interfaces.

Indexed as

Artificial LimbsProsthesis DesignTextilesBiomechanical PhenomenaHumansPressure

Identifiers

PMID42600029
PMCPMC13475602

What OpenQuestion holds

Textmetadata
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.