Evidence map›Paper›PMID 39678341›Full record

ArticleResearch square2024

Robust Magnetoelectric Backscatter Communication System for Bioelectronic Implants.

Fatima Alrashdan, Joshua E Woods, Ellie C Chen, Wendy Tan, Zhanghao Yu, Wei Wang, Mathews John, Lukas Jaworski, Drew Bernard, Allison Post and 5 more

Abstract readPreprint
In one paragraph

Article in Research square, 2024. 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

5 · Who and what money

Authors and funding

15 authors.

Fatima AlrashdanDepartment of Electrical and Computer Engineering, Rice University, 6100 Main St, Houston, TX, 77005.ORCID https://orcid.org/0000-0001-7605-1056
Joshua E WoodsDepartment of Electrical and Computer Engineering, Rice University, 6100 Main St, Houston, TX, 77005.
Ellie C ChenDepartment of Electrical and Computer Engineering, Rice University, 6100 Main St, Houston, TX, 77005.
Wendy TanDepartment of Electrical and Computer Engineering, Rice University, 6100 Main St, Houston, TX, 77005.ORCID https://orcid.org/0009-0007-4329-5290
Zhanghao YuDepartment of Electrical and Computer Engineering, Rice University, 6100 Main St, Houston, TX, 77005.
Wei WangDepartment of Electrical and Computer Engineering, Rice University, 6100 Main St, Houston, TX, 77005.
Mathews JohnTexas Heart Institute, Houston, TX, USA.
Lukas JaworskiTexas Heart Institute, Houston, TX, USA.
Drew BernardTexas Heart Institute, Houston, TX, USA.
Allison PostTexas Heart Institute, Houston, TX, USA.
Angel Moctezuma-RamirezTexas Heart Institute, Houston, TX, USA.
Abdelmotagaly ElgaladTexas Heart Institute, Houston, TX, USA.ORCID https://orcid.org/0000-0002-1234-5546
Kaiyuan YangDepartment of Electrical and Computer Engineering, Rice University, 6100 Main St, Houston, TX, 77005.
Mehdi RazaviTexas Heart Institute, Houston, TX, USA.
Jacob T RobinsonDepartment of Electrical and Computer Engineering, Rice University, 6100 Main St, Houston, TX, 77005.

Funding

Leadless wirelessly powered pacemaker for multi chamber pacing using miniaturized pacing and sensing nodeR01HL144683 · NHLBI · TEXAS HEART INSTITUTE · PI BABAKHANI, AYDIN, RAZAVI, MEHDI · 2019 to 2022
$2.4M
NHLBI NIH HHS R01 HL144683
6 · The paper itself

Abstract

Wireless communication technologies for bioelectronic implants enable remote monitoring for diagnosis and adaptive therapeutic intervention without the constraints of wired connections. However, wireless data uplink from millimeter-scale devices deep in the body struggles to achieve low power consumption while maintaining large misalignment tolerances. Here, we report a passive wireless backscatter communication system based on magnetoelectric transducers that consumes less than 0.3 pJ/bit and achieves less than 1E-6 bit error rate at a distance of 55 mm while tolerating a misalignment of 10 mm. Using this robust data uplink, we designed a wireless cardiac sensing node that can transmit electrocardiogram signals from the beating heart surface of a porcine model to a custom external transceiver using the magnetoelectric backscatter uplink. This reliable, near-zero-power communication method provides opportunities for next-generation bioelectronics to feature real-time physiological monitoring and closed-loop therapies while maintaining a small form factor and low power consumption.

Identifiers

PMID39678341
PMCPMC11643333

What OpenQuestion holds

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LicenceCC BY
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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.