Evidence map›Paper›PMID 39712653›Full record

ArticleAdvanced functional materials2024

Fiber-based Miniature Strain Sensor with Fast Response and Low Hysteresis.

Ruixuan Wang, Tong Qiu, Yujing Zhang, Michael Rein, Alexander Stolyarov, Junru Zhang, Gary D Seidel, Blake N Johnson, Anbo Wang, Xiaoting Jia

Abstract read
In one paragraph

Article in Advanced functional materials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

10 authors.

Ruixuan WangBradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, 24061, USA.
Tong QiuBradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, 24061, USA.
Yujing ZhangBradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, 24061, USA.
Michael ReinAdvanced Functional Fabrics of America, Cambridge, MA, 02139, USA.
Alexander StolyarovAdvanced Functional Fabrics of America, Cambridge, MA, 02139, USA.
Junru ZhangGrado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, 24061, USA.
Gary D SeidelKevin T. Crofton Department of Aerospace and Ocean Engineering, Virginia Tech, Blacksburg, VA, 24061, USA.
Blake N JohnsonGrado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, 24061, USA.
Anbo WangBradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, 24061, USA.
Xiaoting JiaBradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, 24061, USA.

Funding

3D multifunctional deep brain interface for seizure detection and interventionR01NS123069 · NINDS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI JIA, XIAOTING, SONTHEIMER, HARALD W · 2021 to 2025
$1.9M
A robotic fiber platform for large area deep brain interfacingR21EY033080 · NEI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI COHEN, ITAI, JIA, XIAOTING · 2021 to 2022
$423k
NEI NIH HHS R21 EY033080NINDS NIH HHS R01 NS123069
6 · The paper itself

Abstract

Flexible and stretchable strain sensors are in high demand in sports performance monitoring, structural health monitoring, and biomedical applications. However, existing stretchable soft sensors, primarily based on soft polymer materials, often suffer from drawbacks, including high hysteresis, low durability, and delayed response. To overcome these limitations, we introduced a stretchable miniature fiber sensor comprised of a stretchable core tightly coiled with parallel conductive wires. This fiber sensor is flexible and stretchable while exhibiting low hysteresis, a remarkable theoretical resolution of 0.015%, a response time of less than 30 milliseconds, and excellent stability after extensive cycling tests of over 16,000 cycles. To understand and predict the capacitive sensor response of the proposed sensor, an analytical expression was derived and proved to have good agreements with both experimental results and numerical simulation. The potential of the strain sensor as a wearable device is demonstrated by embedding it into belts, gloves, and knee protectors. Additionally, the sensor could extend its applications beyond wearable devices, as demonstrated by its integration into bladder and life safety rope monitoring systems. We envision our sensor can find applications in the field of sports performance evaluations, health care monitoring, and structural safety assessments.

Indexed as

Capacitive SensorsStrain sensorsStretchable SensorsStructural Health MonitoringWearable devices

Identifiers

PMID39712653
PMCPMC11661685

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.