Evidence map›Paper›PMID 36785562›Full record

ArticleNano research2023

Miniaturized retractable thin-film sensor for wearable multifunctional respiratory monitoring.

Chengyu Li, Zijie Xu, Shuxing Xu, Tingyu Wang, Siyu Zhou, Zhuoran Sun, Zhong Lin Wang, Wei Tang

Open access · bronzeAbstract read
In one paragraph

Article in Nano research, 2023. 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
3.8field-weighted citation impact, top 6% 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, 35 citations in OpenAlex.

  1. Review
  2. Review
  3. Artificial Intelligence-Driven Soft Bioelectronics for Self-Powered Respiration Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  4. Review
  5. Review
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  7. Article
  8. 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

8 authors at 5 institutions in 2 countries.

Chengyu Li *Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400 China.
Zijie Xu *Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400 China.
Shuxing Xu *Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400 China.
Tingyu WangBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400 China.
Siyu ZhouPeking University Third Hospital, Beijing, 100191 China.
Zhuoran SunPeking University Third Hospital, Beijing, 100191 China.
Zhong Lin WangBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400 China.
Wei TangBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400 China.
Chinese Academy of Sciences · CNPeking University Third Hospital · CNUniversity of Chinese Academy of Sciences · CNBeijing Institute of Nanoenergy and Nanosystems · CNGuangxi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As extremely important physiological indicators, respiratory signals can often reflect or predict the depth and urgency of various diseases. However, designing a wearable respiratory monitoring system with convenience, excellent durability, and high precision is still an urgent challenge. Here, we designed an easy-fabricate, lightweight, and badge reel-like retractable self-powered sensor (RSPS) with high precision, sensitivity, and durability for continuous detection of important indicators such as respiratory rate, apnea, and respiratory ventilation. By using three groups of interdigital electrode structures with phase differences, combined with flexible printed circuit boards (FPCBs) processing technology, a miniature rotating thin-film triboelectric nanogenerator (RTF-TENG) was developed. Based on discrete sensing technology, the RSPS has a sensing resolution of 0.13 mm, sensitivity of 7 P·mm Electronic Supplementary Material: Supplementary material (additional figures and movies, including the production process of respiratory monitoring straps, the mechanical analysis of RSPS, RTF-TENG versus vector TENG sensors, the simulation studies of TE-TENG and FT-TENG, the additional characterization of RTF-TENG, the tensile and robustness tests of RSPS, the characterizations of the MWRMS during different sleeping positions, detailed circuit schematic of the MWRMS, the displacements and phase relations of RSPS, MWRMS for multifunctional respiratory monitoring) is available in the online version of this article at 10.1007/s12274-023-5420-1.

Indexed as

discrete and vectorrespiratory monitoringself-poweredthin-film sensorstriboelectric nanogenerator

Identifiers

PMID36785562
PMCPMC9907204
OpenAlexW4319454812

What OpenQuestion holds

Textmetadata
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.