Evidence map›Paper›PMID 31781944›Full record

ArticleNanoscale research letters2019

A Portable Triboelectric Nanogenerator for Real-Time Respiration Monitoring.

Zhicheng Zhang, Jiwei Zhang, He Zhang, Huagang Wang, Zhiwei Hu, Weipeng Xuan, Shurong Dong, Jikui Luo

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nanoscale research letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 88 citations in OpenAlex.

  1. Pooled it
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  3. Biowaste-Derived Triboelectric Nanogenerators for Emerging Bioelectronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
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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

8 authors at 3 institutions in 2 countries.

Zhicheng ZhangCollege of Civil Engineering & Architecture, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, China.
Jiwei ZhangCollege of Civil Engineering & Architecture, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, China.
He ZhangCollege of Civil Engineering & Architecture, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, China. zjuzhanghe@zju.edu.cn.ORCID http://orcid.org/0000-0003-2168-0503
Huagang WangCollege of Civil Engineering & Architecture, Zhejiang University, 866 Yuhangtang Road, Hangzhou, 310058, China.
Zhiwei HuMinistry of Education Key Lab. of RF Circuits and Systems, College of Electronics & Information Hangzhou Dianzi University, Hangzhou, 310018, China.
Weipeng XuanMinistry of Education Key Lab. of RF Circuits and Systems, College of Electronics & Information Hangzhou Dianzi University, Hangzhou, 310018, China.
Shurong DongCollege of Information Science & Electronic Engineering, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, China.
Jikui LuoMinistry of Education Key Lab. of RF Circuits and Systems, College of Electronics & Information Hangzhou Dianzi University, Hangzhou, 310018, China.
Zhejiang University · CNHangzhou Dianzi University · CNUniversity of Greater Manchester · GB

Funding

Fundamental Research Funds for the Central Universities 2019QNA4040National Natural Science Foundation of China 11472244National Natural Science Foundation of China 51978609the Key Research Project of Southern Xinjiang 2019DB013
6 · The paper itself

Abstract

As a reliable indicator of human physiological health, respiratory rate has been utilized in more and more cases for prediction and diagnosis of potential respiratory diseases and the respiratory dysfunction caused by cystic fibrosis. However, compared with smart mobile electronics, traditional clinical respiration monitoring systems is not convenient to work as a household wearable device for real-time respiration monitoring in daily life due to its cumbersome structure, complex operability, and reliance on external power sources. Thus, we propose a wearable wireless respiration sensor based on lateral sliding mode triboelectric nanogenerator (TENG) to monitor respiratory rates by sensing the variation of the abdominal circumference. In this paper, we validate the possibility of the device as a respiration monitoring sensor via an established theoretical model and investigate the output performance of the sensor via a series of mechanical tests. Furtherly, the applications of the respiration sensor in different individuals, different breathing rhythms, different active states, and wireless transmission have been verified by a lot of volunteer tests. All the results demonstrate the potential of the proposed wearable sensor as a new alternative for detecting and monitoring real-time respiratory rates with general applicability and sensitivity.

Indexed as

Triboelectric nanogeneratorWaist-wearable respiration sensorWireless transmission

Identifiers

PMID31781944
PMCPMC6882997
OpenAlexW2990189936

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.