Evidence map›Paper›PMID 36737477›Full record

ArticleScientific reports2023

Digital manufacturing of personalised footwear with embedded sensors.

Marco R Binelli, Ryan van Dommelen, Yannick Nagel, Jaemin Kim, Rubaiyet I Haque, Fergal B Coulter, Gilberto Siqueira, André R Studart, Danick Briand

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. 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
4.3field-weighted citation impact, top 5% of its field
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, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. 3D printing of micro-nano devices and their applications.Microsystems & nanoengineering · 2025
    Review
  4. Fully 3D-Printed Soft Capacitive Sensor of High Toughness and Large Measurement Range.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  5. Article
  6. 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

9 authors at 3 institutions in 1 country.

Marco R Binelli *Complex Materials, Department of Materials, ETH Zürich, 8093, Zürich, Switzerland.
Ryan van Dommelen *Soft Transducers Laboratory, EPFL Lausanne, 2000, Neuchâtel, Switzerland.
Yannick NagelCellulose & Wood Materials Laboratory, Empa, 8600, Dübendorf, Switzerland.
Jaemin KimSoft Transducers Laboratory, EPFL Lausanne, 2000, Neuchâtel, Switzerland.
Rubaiyet I HaqueSoft Transducers Laboratory, EPFL Lausanne, 2000, Neuchâtel, Switzerland.
Fergal B CoulterComplex Materials, Department of Materials, ETH Zürich, 8093, Zürich, Switzerland.
Gilberto SiqueiraComplex Materials, Department of Materials, ETH Zürich, 8093, Zürich, Switzerland. gilberto.siqueira@empa.ch.
André R StudartComplex Materials, Department of Materials, ETH Zürich, 8093, Zürich, Switzerland. andre.studart@mat.ethz.ch.
Danick BriandSoft Transducers Laboratory, EPFL Lausanne, 2000, Neuchâtel, Switzerland. danick.briand@epfl.ch.
École Polytechnique Fédérale de Lausanne · CHETH Zurich · CHSwiss Federal Laboratories for Materials Science and Technology · CH

Funding

Strategic Focus Area Advanced Manufacturing (SFA-AM), Swiss ETH Domain D-SENSE
6 · The paper itself

Abstract

The strong clinical demand for more accurate and personalized health monitoring technologies has called for the development of additively manufactured wearable devices. While the materials palette for additive manufacturing continues to expand, the integration of materials, designs and digital fabrication methods in a unified workflow remains challenging. In this work, a 3D printing platform is proposed for the integrated fabrication of silicone-based soft wearables with embedded piezoresistive sensors. Silicone-based inks containing cellulose nanocrystals and/or carbon black fillers were thoroughly designed and used for the direct ink writing of a shoe insole demonstrator with encapsulated sensors capable of measuring both normal and shear forces. By fine-tuning the material properties to the expected plantar pressures, the patient-customized shoe insole was fully 3D printed at room temperature to measure in-situ gait forces during physical activity. Moreover, the digitized approach allows for rapid adaptation of the sensor layout to meet specific user needs and thereby fabricate improved insoles in multiple quick iterations. The developed materials and workflow enable a new generation of fully 3D printed soft electronic devices for health monitoring.

Identifiers

PMID36737477
PMCPMC9898262
OpenAlexW4319081218

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.