Evidence map›Paper›PMID 36443353›Full record

ArticleScientific reports2022

A new 3D, microfluidic-oriented, multi-functional, and highly stretchable soft wearable sensor.

Mohsen Annabestani, Pouria Esmaeili-Dokht, Ali Olyanasab, Nooshin Orouji, Zeynab Alipour, Mohammad Hossein Sayad, Kimia Rajabi, Barbara Mazzolai, Mehdi Fardmanesh

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Next-Generation Microfluidics for Biomedical Research and Healthcare Applications.Biomedical engineering and computational biology · 2023
    Review
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 2 countries.

Mohsen AnnabestaniDepartment of Electrical Engineering, Sharif University of Technology, Tehran, Iran. annabestany@gmail.com.
Pouria Esmaeili-DokhtDepartment of Electrical Engineering, Sharif University of Technology, Tehran, Iran.
Ali OlyanasabDepartment of Electrical Engineering, Sharif University of Technology, Tehran, Iran.
Nooshin OroujiDepartment of Electrical Engineering, Sharif University of Technology, Tehran, Iran.
Zeynab AlipourDepartment of Electrical Engineering, Sharif University of Technology, Tehran, Iran.
Mohammad Hossein SayadDepartment of Electrical Engineering, Sharif University of Technology, Tehran, Iran.
Kimia RajabiSchool of Mechanical Engineering, University of Tehran, Tehran, Iran.
Barbara MazzolaiBioinspired Soft Robotics Lab, Istituto Italiano di Tecnologia, 16163, Genoa, GE, Italy.
Mehdi FardmaneshDepartment of Electrical Engineering, Sharif University of Technology, Tehran, Iran. fardmanesh@sharif.edu.
Sharif University of Technology · IRItalian Institute of Technology · ITUniversity of Tehran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing demand for wearable devices has resulted in the development of soft sensors; however, an excellent soft sensor for measuring stretch, twist, and pressure simultaneously has not been proposed yet. This paper presents a novel, fully 3D, microfluidic-oriented, gel-based, and highly stretchable resistive soft sensor. The proposed sensor is multi-functional and could be used to measure stretch, twist, and pressure, which is the potential of using a fully 3D structure in the sensor. Unlike previous methods, in which almost all of them used EGaIn as the conductive material, in this case, we used a low-cost, safe (biocompatible), and ubiquitous conductive gel instead. To show the functionality of the proposed sensor, FEM simulations and a set of designed experiments were done, which show linear (99%), accurate (> 94.9%), and durable (tested for a whole of four hours) response of the proposed sensor. Then, the sensor was put through its paces on a female test subject's knee, elbow, and wrist to show the potential application of the sensor as a body motion sensor. Also, a fully 3D active foot insole was developed, fabricated, and evaluated to evaluate the pressure functionality of the sensor. The result shows good discrimination and pressure measurement for different foot sole areas. The proposed sensor has the potential to be used in real-world applications like rehabilitation, wearable devices, soft robotics, smart clothing, gait analysis, AR/VR, etc.

Indexed as

Elbow JointWearable Electronic DevicesFemaleFootHumansLower ExtremityMicrofluidics

Identifiers

PMID36443353
PMCPMC9705553
OpenAlexW4310177878

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.