Evidence map›Paper›PMID 39125171›Full record

ArticlePolymers2024

Wearable Smart Silicone Belt for Human Motion Monitoring and Power Generation.

Lijun Zhou, Xue Liu, Wei Zhong, Qinying Pan, Chao Sun, Zhanyong Gu, Jiwen Fang, Chong Li, Jia Wang, Xiaohong Dong and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Polymers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Lijun ZhouThe College of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212000, China.
Xue LiuThe College of Chemistry and Molecular Sciences, Henan University, Kaifeng 475001, China.
Wei ZhongThe College of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212000, China.ORCID 0000-0001-8206-1242
Qinying PanDepartment of Chemistry, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark.ORCID 0000-0002-8773-989X
Chao SunThe College of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212000, China.
Zhanyong GuCollege of Chemical Engineering, Shijiazhuang University, Shijiazhuang 050035, China.
Jiwen FangThe College of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212000, China.
Chong LiThe College of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212000, China.ORCID 0000-0002-2380-7777
Jia WangThe College of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212000, China.
Xiaohong DongThe College of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212000, China.
Jiang ShaoThe College of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212000, China.ORCID 0000-0001-8112-2672

Funding

Central Guidance on Local Science and Technology Development Fund of Hebei Province 236Z3701GHebei Natural Science Foundation E2022106008Hebei Province Higher Education Science and Technology Research Project QN2023069
6 · The paper itself

Abstract

Human physical activity monitoring plays a crucial role in promoting personalized health management. In this work, inspired by an ancient Chinese belt, a belt-type wearable sensor (BWS) based on a triboelectric nanogenerator (TENG) is presented to monitor daily movements and collect the body motion mechanical energy. The developed BWS consists of a soft silicone sheet and systematically connected sensing units made from triboelectric polymer materials including polytetrafluoroethylene (PTFE) and polyamide (PA). A parameter study of the sensing units is firstly conducted to optimize the structure of BWS. The experimental studies indicate that the parameter-optimized BWS unit achieves a maximum output voltage of 47 V and a maximum current of 0.17 μA. A BWS with five sensing units is manufactured to record body movements, and it is able to distinguish different physical activities including stillness, walking, running, jumping, normal breathing, cessation of breathing, and deep breathing. In addition, the developed BWS successfully powers electronic devices including a smartphone, digital watch, and LED lights. We hope this work provides a new strategy for the development of wearable self-powered intelligent devices.

Indexed as

energy collectionmotion monitoringpolymersmart sensor

Identifiers

PMID39125171
PMCPMC11313891

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.