Evidence map›Paper›PMID 42585094›Full record

ArticleChemistryOpen2026

A Self-Powered Hydrogel-Based Wearable Sensor for Sports Motion Monitoring and Activity Recognition.

Changqing Miao, Heng Zhao, Xiaojun Wang, Haoxuan Liu

Abstract read
In one paragraph

Article in ChemistryOpen, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Changqing MiaoSchool of Physical Education, Anyang Normal University, Anyang, China.
Heng ZhaoOffice of Educational Administration, Teaching Research Division, Capital University of Physical Education and Sports, Beijing, China.ORCID 0009-0003-3737-7063
Xiaojun WangSchool of Physical Education, Anyang Normal University, Anyang, China.
Haoxuan LiuPhysical Education Department, Henan College of Surveying and Mapping, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearable sensors have shown great potential in sports motion monitoring, exercise evaluation, and intelligent training owing to their ability to provide continuous and real-time biomechanical information. Here, a multinetwork PD hydrogel-based triboelectric nanogenerator (PD-TENG) is developed as a self-powered wearable sensing platform for national fitness motion monitoring and intelligent evaluation. The device adopts a contact-separation configuration with pPTFE and nylon as the triboelectric pair and PD hydrogel as the flexible conductive electrode. Benefiting from the synergistic coupling of polymer chains, ionic species, and dynamic intermolecular interactions, the hydrogel exhibits favorable flexibility, mechanical compliance, and interfacial adaptability. The optimized PD-TENG delivers an open-circuit voltage (V

Indexed as

HydrogelsSportsWearable Electronic DevicesElectrodesHumansMonitoring, PhysiologicNylonsPolytetrafluoroethyleneHydrogelsNylonsPolytetrafluoroethyleneconductive hydrogelintelligent evaluationmotion monitoringself‐powered sensortriboelectric nanogenerators (TENGs)

Identifiers

PMID42585094
PMCPMC13465221

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.