Evidence map›Paper›PMID 36661780›Full record

ReviewGels (Basel, Switzerland)2022

Recent Advances and Progress of Conducting Polymer-Based Hydrogels in Strain Sensor Applications.

Vinh Van Tran, Kyungjun Lee, Thanh Ngoc Nguyen, Daeho Lee

Open access · goldAbstract readReview
In one paragraph

Review in Gels (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Vinh Van TranDepartment of Mechanical Engineering, Gachon University, Seongnam 13120, Republic of Korea.ORCID 0000-0002-9103-8420
Kyungjun LeeDepartment of Mechanical Engineering, Gachon University, Seongnam 13120, Republic of Korea.
Thanh Ngoc NguyenNTT Hi-Tech Institute, Nguyen Tat Thanh University, 300A Nguyen Tat Thanh, Ward 13, District 4, Ho Chi Minh City 700000, Vietnam.
Daeho LeeDepartment of Mechanical Engineering, Gachon University, Seongnam 13120, Republic of Korea.ORCID 0000-0002-8119-9677
Gachon University · KRTrường ĐH Nguyễn Tất Thành · VN

Funding

National Research Foundation of Korea NRF-2021R1A2C2004109
6 · The paper itself

Abstract

Conducting polymer-based hydrogels (CPHs) are novel materials that take advantage of both conducting polymers and three-dimensional hydrogels, which endow them with great electrical properties and excellent mechanical features. Therefore, CPHs are considered as one of the most promising platforms for employing wearable and stretchable strain sensors in practical applications. Herein, we provide a critical review of distinct features and preparation technologies and the advancements in CPH-based strain sensors for human motion and health monitoring applications. The fundamentals, working mechanisms, and requirements for the design of CPH-based strain sensors with high performance are also summarized and discussed. Moreover, the recent progress and development strategies for the implementation of CPH-based strain sensors are pointed out and described. It has been surmised that electronic skin (e-skin) sensors are the upward tendency in the development of CPHs for wearable strain sensors and human health monitoring. This review will be important scientific evidence to formulate new approaches for the development of CPH-based strain sensors in the present and in the future.

Indexed as

conducting polymerse-skin deviceshydrogelsstrain sensorsstretchable sensors

Identifiers

PMID36661780
PMCPMC9858134
OpenAlexW4313245363

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.