Evidence map›Paper›PMID 39239460›Full record

ArticleDevice2024

Design of an injectable, self-adhesive, and highly stable hydrogel electrode for sleep recording.

Ju-Chun Hsieh, Weilong He, Dhivya Venkatraghavan, Victoria B Koptelova, Zoya J Ahmad, Ilya Pyatnitskiy, Wenliang Wang, Jinmo Jeong, Kevin Kai Wing Tang, Cody Harmeier and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Device, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 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

20 authors.

Ju-Chun HsiehDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Weilong HeDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Dhivya VenkatraghavanDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Victoria B KoptelovaDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Zoya J AhmadDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Ilya PyatnitskiyDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Wenliang WangDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Jinmo JeongDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Kevin Kai Wing TangDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Cody HarmeierDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Conrad LiDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Manini RanaDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Sruti IyerDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Eesha NayakDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Hong DingDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Pradeep ModurDepartment of Neurology, The University of Texas at Austin, Austin, TX 78712, USA.
Vincent MysliwiecDepartment of Psychiatry, The University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA.
David M SchnyerDepartment of Psychology, The University of Texas at Austin, Austin, TX 78712, USA.
Benjamin BairdDepartment of Psychology, The University of Texas at Austin, Austin, TX 78712, USA.
Huiliang WangDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX 78712, USA.

Funding

Non-Invasive and Non-Viral Sono-OptogeneticsR35GM147408 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI Huiliang Wang · 2022 to 2026
$2.0M
NIGMS NIH HHS R35 GM147408
6 · The paper itself

Abstract

High-quality and continuous electroencephalogram (EEG) monitoring is desirable for sleep research, sleep monitoring, and the evaluation and treatment of sleep disorders. Existing continuous EEG monitoring technologies suffer from fragile connections, long-term stability, and complex preparation for electrodes under real-life conditions. Here, we report an injectable and spontaneously cross-linked hydrogel electrode for long-term EEG applications. Specifically, our electrodes have a long-term low impedance on hairy scalp regions of 17.53 kΩ for more than 8 h of recording, high adhesiveness on the skin of 0.92 N cm

Identifiers

PMID39239460
PMCPMC11376683

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.