Evidence map›Paper›PMID 32679666›Full record

ReviewSensors (Basel, Switzerland)2020

Challenges in Design and Fabrication of Flexible/Stretchable Carbon- and Textile-Based Wearable Sensors for Health Monitoring: A Critical Review.

Jae Sang Heo, Md Faruk Hossain, Insoo Kim

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.6field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 114 citations in OpenAlex.

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  16. Textile-Based Mechanical Sensors: A Review.Materials (Basel, Switzerland) · 2021
    Review
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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

3 authors at 2 institutions in 1 country.

Jae Sang HeoDepartment of Medicine, University of Connecticut School of Medicine, Farmington, CT 06030, USA.ORCID 0000-0002-5607-3327
Md Faruk HossainFrank Reidy Research Center for Bioelectrics, Old Dominion University, Norfolk, VA 23529, USA.
Insoo KimDepartment of Medicine, University of Connecticut School of Medicine, Farmington, CT 06030, USA.ORCID 0000-0001-6539-1776
University of Connecticut · USOld Dominion University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To demonstrate the wearable flexible/stretchable health-monitoring sensor, it is necessary to develop advanced functional materials and fabrication technologies. Among the various developed materials and fabrication processes for wearable sensors, carbon-based materials and textile-based configurations are considered as promising approaches due to their outstanding characteristics such as high conductivity, lightweight, high mechanical properties, wearability, and biocompatibility. Despite these advantages, in order to realize practical wearable applications, electrical and mechanical performances such as sensitivity, stability, and long-term use are still not satisfied. Accordingly, in this review, we describe recent advances in process technologies to fabricate advanced carbon-based materials and textile-based sensors, followed by their applications such as human activity and electrophysiological sensors. Furthermore, we discuss the remaining challenges for both carbon- and textile-based wearable sensors and then suggest effective strategies to realize the wearable sensors in health monitoring.

Indexed as

CarbonTextilesWearable Electronic DevicesElectric ConductivityHumansCarboncarbon-based materialselectronic textiles (e-textile)flexible/stretchable materialshealth monitoring applicationswearable flexible electronics

Identifiers

PMID32679666
PMCPMC7412463
OpenAlexW3042530228

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.