Evidence map›Paper›PMID 37468458›Full record

ArticleNature communications2023

Implant-to-implant wireless networking with metamaterial textiles.

Xi Tian, Qihang Zeng, Selman A Kurt, Renee R Li, Dat T Nguyen, Ze Xiong, Zhipeng Li, Xin Yang, Xiao Xiao, Changsheng Wu and 4 more

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 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

14 authors.

Xi Tian *Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore. tianxi@u.nus.edu.ORCID http://orcid.org/0000-0003-1633-1210
Qihang Zeng *Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.
Selman A Kurt *Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.ORCID http://orcid.org/0000-0002-4549-0774
Renee R LiCardiovascular Research Institute, National University Heart Centre, Singapore, 117599, Singapore.
Dat T NguyenDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.ORCID http://orcid.org/0000-0003-2750-3145
Ze XiongDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.
Zhipeng LiDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.ORCID http://orcid.org/0000-0002-8139-2522
Xin YangDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.ORCID http://orcid.org/0000-0002-1085-9340
Xiao XiaoDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.
Changsheng WuInstitute for Health Innovation and Technology, National University of Singapore, Singapore, 117599, Singapore.
Benjamin C K TeeInstitute for Health Innovation and Technology, National University of Singapore, Singapore, 117599, Singapore.ORCID http://orcid.org/0000-0001-8125-9396
Denys NikolayevIETR - UMR 6164, CNRS, University of Rennes, Rennes, France.ORCID http://orcid.org/0000-0002-5168-3759
Christopher J CharlesCardiovascular Research Institute, National University Heart Centre, Singapore, 117599, Singapore.ORCID http://orcid.org/0000-0001-9807-8022
John S HoDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore. johnho@nus.edu.sg.ORCID http://orcid.org/0000-0002-9458-9033

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Implanted bioelectronic devices can form distributed networks capable of sensing health conditions and delivering therapy throughout the body. Current clinically-used approaches for wireless communication, however, do not support direct networking between implants because of signal losses from absorption and reflection by the body. As a result, existing examples of such networks rely on an external relay device that needs to be periodically recharged and constitutes a single point of failure. Here, we demonstrate direct implant-to-implant wireless networking at the scale of the human body using metamaterial textiles. The textiles facilitate non-radiative propagation of radio-frequency signals along the surface of the body, passively amplifying the received signal strength by more than three orders of magnitude (>30 dB) compared to without the textile. Using a porcine model, we demonstrate closed-loop control of the heart rate by wirelessly networking a loop recorder and a vagus nerve stimulator at more than 40 cm distance. Our work establishes a wireless technology to directly network body-integrated devices for precise and adaptive bioelectronic therapies.

Indexed as

Prostheses and ImplantsTextilesAnimalsEquipment DesignHumansRadio WavesSwineWireless Technology

Identifiers

PMID37468458
PMCPMC10356940

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.