Evidence map›Paper›PMID 41068086›Full record

ArticleNature communications2025

Leveraging body dielectric polarization for ambient electromagnetic energy recovery via e-textile.

Yuanlong Li, Weifeng Yang, Alexander V Shokurov, Carlo Menon

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Yuanlong Li *Biomedical and Mobile Health Technology Laboratory, Department of Health Sciences and Technology, ETH Zurich, Lengghalde 5, Zurich, Switzerland.ORCID http://orcid.org/0009-0006-8279-4538
Weifeng Yang *Biomedical and Mobile Health Technology Laboratory, Department of Health Sciences and Technology, ETH Zurich, Lengghalde 5, Zurich, Switzerland. weifeng.yang@hest.ethz.ch.ORCID http://orcid.org/0009-0002-4370-8589
Alexander V ShokurovBiomedical and Mobile Health Technology Laboratory, Department of Health Sciences and Technology, ETH Zurich, Lengghalde 5, Zurich, Switzerland.ORCID http://orcid.org/0000-0003-4562-8603
Carlo MenonBiomedical and Mobile Health Technology Laboratory, Department of Health Sciences and Technology, ETH Zurich, Lengghalde 5, Zurich, Switzerland. carlo.menon@hest.ethz.ch.ORCID http://orcid.org/0000-0002-2309-9977

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ambient electromagnetic energy surrounds us in daily life and holds great potential for powering the future distributed wearable electronics. However, current electromagnetic energy harvesting methods suffer from reflection losses and parasitic effects, typically generating only nanowatt-level power, which is insufficient for flexible electronic systems. Here, we propose a body dielectric polarization-enabled textile for electromagnetic energy recovery. By harnessing the space charge/ dipole polarization in the body, the textile can directly convert electromagnetic energy from skin surface without additional power generation entities. Due to the body dielectric polarization mechanism, the textile can recover up to 10.2 mW/person (10.01 dBm) from a common laptop during daily typing, surpassing most state-of-the-art electromagnetic energy harvesters. We further demonstrate the textile by continuously powering a wireless heart rate belt for overnight heart rate and ECG monitoring without a battery. This body dielectric polarization energy recovery strategy provides inspiration for future distributed flexible energy.

Identifiers

PMID41068086
PMCPMC12511592

What OpenQuestion holds

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LicenceCC BY
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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.