Evidence map›Paper›PMID 37829556›Full record

ArticleIEEE open journal of circuits and systems2023

Circuit-Level Modeling and Simulation of Wireless Sensing and Energy Harvesting With Hybrid Magnetoelectric Antennas for Implantable Neural Devices.

Diptashree DAS, Ziyue Xu, Mehdi Nasrollahpour, Isabel Martos-Repath, Mohsen Zaeimbashi, Adam Khalifa, Ankit Mittal, Sydney S Cash, Nian X Sun, Aatmesh Shrivastava and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IEEE open journal of circuits and systems, 2023. 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

11 authors.

Diptashree DASDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA.
Ziyue XuDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA.ORCID 0000-0002-1917-0910
Mehdi NasrollahpourDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA.
Isabel Martos-RepathDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA.
Mohsen ZaeimbashiThe Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA.
Adam KhalifaDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, FL 32611, USA.ORCID 0000-0002-2956-5596
Ankit MittalDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA.ORCID 0000-0001-8761-2269
Sydney S CashDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA.
Nian X SunDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA.ORCID 0000-0002-3120-0094
Aatmesh ShrivastavaDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA.ORCID 0000-0002-5738-9868
Marvin OnabajoDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA.ORCID 0000-0002-6044-3693

Funding

Neuroscience Resident Research ProgramUE5NS065743 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI SYDNEY S CASH, Ziv Williams · 2024 to 2026
$2.6M
Novel Implantable Smart Magnetoelectric NanoRFIDs for Large-Scale Neural Magnetic Recording and ModulationUF1NS107694 · NINDS · NORTHEASTERN UNIVERSITY · PI CASH, SYDNEY S, SUN, NIAN XIANG · 2018 to 2018
$1.8M
NINDS NIH HHS UE5 NS065743NINDS NIH HHS UF1 NS107694
6 · The paper itself

Abstract

A magnetoelectric antenna (ME) can exhibit the dual capabilities of wireless energy harvesting and sensing at different frequencies. In this article, a behavioral circuit model for hybrid ME antennas is described to emulate the radio frequency (RF) energy harvesting and sensing operations during circuit simulations. The ME antenna of this work is interfaced with a CMOS energy harvester chip towards the goal of developing a wireless communication link for fully integrated implantable devices. One role of the integrated system is to receive pulse-modulated power from a nearby transmitter, and another role is to sense and transmit low-magnitude neural signals. The measurements reported in this paper are the first results that demonstrate simultaneous low-frequency wireless magnetic sensing and high-frequency wireless energy harvesting at two different frequencies with one dual-mode ME antenna. The proposed behavioral ME antenna model can be utilized during design optimizations of energy harvesting circuits. Measurements were performed to validate the wireless power transfer link with an ME antenna having a 2.57 GHz resonance frequency connected to an energy harvester chip designed in 65nm CMOS technology. Furthermore, this dual-mode ME antenna enables concurrent sensing using a carrier signal with a frequency that matches the second 63.63 MHz resonance mode. A wireless test platform has been developed for evaluation of ME antennas as a tool for neural implant design, and this prototype system was utilized to provide first experimental results with the transmission of magnetically modulated action potential waveforms.

Indexed as

Behavioral circuit modelingmagnetoelectric antennaneural recordingwireless energy harvesting circuitswireless sensing

Identifiers

PMID37829556
PMCPMC10569408

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.