Evidence map›Paper›PMID 34683661›Full record

ReviewMaterials (Basel, Switzerland)2021

Textile-Based Mechanical Sensors: A Review.

Zaiwei Zhou, Nuo Chen, Hongchuan Zhong, Wanli Zhang, Yue Zhang, Xiangyu Yin, Bingwei He

Abstract readReview
In one paragraph

Review in Materials (Basel, Switzerland), 2021. 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.

  1. Article
  2. Article
  3. Article
  4. AI-Based Metamaterial Design.ACS applied materials & interfaces · 2024
    Review
  5. Article
  6. Advances in Smart Materials and Structures.Materials (Basel, Switzerland) · 2023
    Article
  7. 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

7 authors.

Zaiwei ZhouCollege of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.
Nuo ChenDepartment of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Hongchuan ZhongCollege of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.
Wanli ZhangCollege of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.
Yue ZhangCollege of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.
Xiangyu YinFujian Engineering Research Center of Joint Intelligent Medical Engineering, Fuzhou 350108, China.
Bingwei HeCollege of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.

Funding

National Natural Science Foundation of China 52103025
6 · The paper itself

Abstract

Innovations related to textiles-based sensors have drawn great interest due to their outstanding merits of flexibility, comfort, low cost, and wearability. Textile-based sensors are often tied to certain parts of the human body to collect mechanical, physical, and chemical stimuli to identify and record human health and exercise. Until now, much research and review work has been carried out to summarize and promote the development of textile-based sensors. As a feature, we focus on textile-based mechanical sensors (TMSs), especially on their advantages and the way they achieve performance optimizations in this review. We first adopt a novel approach to introduce different kinds of TMSs by combining sensing mechanisms, textile structure, and novel fabricating strategies for implementing TMSs and focusing on critical performance criteria such as sensitivity, response range, response time, and stability. Next, we summarize their great advantages over other flexible sensors, and their potential applications in health monitoring, motion recognition, and human-machine interaction. Finally, we present the challenges and prospects to provide meaningful guidelines and directions for future research. The TMSs play an important role in promoting the development of the emerging Internet of Things, which can make health monitoring and everyday objects connect more smartly, conveniently, and comfortably efficiently in a wearable way in the coming years.

Indexed as

advantagesapplicationsmechanismpreparationtextile-based mechanical sensors

Identifiers

PMID34683661
PMCPMC8538676

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.