Evidence map›Paper›PMID 37196075›Full record

ArticleScience advances2023

Multiangle, self-powered sensor array for monitoring head impacts.

Lulu Zu, Jing Wen, Shengbo Wang, Ming Zhang, Wuliang Sun, Baodong Chen, Zhong Lin Wang

Abstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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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

7 authors.

Lulu ZuBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, P. R. China.ORCID 0000-0002-0525-0194
Jing WenBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, P. R. China.ORCID 0000-0001-6483-298X
Shengbo WangBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, P. R. China.ORCID 0000-0003-1203-3507
Ming ZhangSenior Department of Cardiology, The First Medical Center of PLA General Hospital, Beijing 100853, P. R. China.ORCID 0000-0003-2871-5115
Wuliang SunBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, P. R. China.ORCID 0000-0003-0426-2430
Baodong ChenBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, P. R. China.ORCID 0000-0002-4647-0089
Zhong Lin WangBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, P. R. China.ORCID 0000-0002-5530-0380

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mild concussions occur frequently and may come with long-term cognitive, affective, and physical sequelae. However, the diagnosis of mild concussions lacks objective assessment and portable monitoring techniques. Here, we propose a multiangle self-powered sensor array for real-time monitoring of head impact to further assist in clinical analysis and prevention of mild concussions. The array uses triboelectric nanogenerator technology, which converts impact force from multiple directions into electrical signals. With an average sensitivity of 0.214 volts per kilopascal, a response time of 30 milliseconds, and a minimum resolution of 1.415 kilopascals, the sensors exhibit excellent sensing capability over a range of 0 to 200 kilopascals. Furthermore, the array enables reconstructed head impact mapping and injury grade assessment via a prewarning system. By gathering standardized data, we expect to build a big data platform that will permit in-depth research of the direct and indirect effects between head impacts and mild concussions in the future.

Indexed as

Brain ConcussionElectricityElectric Power SuppliesForecastingHumans

Identifiers

PMID37196075
PMCPMC10191426

What OpenQuestion holds

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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.