Evidence map›Paper›PMID 31988699›Full record

ArticleIEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium2019

Ultrasonic Implant Localization for Wireless Power Transfer: Active Uplink and Harmonic Backscatter.

Max L Wang, Ting Chia Chang, Amin Arbabian

Abstract read
In one paragraph

Article in IEEE International Ultrasonics Symposium : [proceedings]. IEEE International Ultrasonics Symposium, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Towards Magnetic Field Gradient-Based Imaging and Control of In-Body Devices.IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference · 2021
    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

3 authors.

Max L WangDepartment of Electrical Engineering, Stanford University, Stanford, CA, USA.
Ting Chia ChangDepartment of Electrical Engineering, Stanford University, Stanford, CA, USA.
Amin ArbabianDepartment of Electrical Engineering, Stanford University, Stanford, CA, USA.

Funding

A Wireless, Implantable Microdevice for Closed-Loop Drug Delivery to Prevent the Morbidity of Diabetes Therapy-Induced HypoglycemiaR01EB025867 · NIBIB · STANFORD UNIVERSITY · PI ARBABIAN, AMIN · 2018 to 2021
$2.2M
NIBIB NIH HHS R01 EB025867
6 · The paper itself

Abstract

Efficient ultrasonic power transfer to implantable devices requires precise transmitter beamforming to the receiver and can quickly degrade with small changes in implant location. Ultrasound localization can be used to find and track implants in the body to maintain an efficient link. We present a framework to calculate localization accuracy showing that sub-mm accuracy is obtainable using only three receive channels. A harmonic backscatter approach, which passively provides contrast in the frequency domain without active load modulation is compared to active uplink from the implant. The localization accuracy using both active uplink and harmonic backscatter from the implant power receiver is characterized using a linear array probe. The measured location standard deviation is nearly two orders of magnitude smaller than the half-power beamwidth of the array focal spot. Finally, beamforming using the measured location information increases the available power by over 20 × compared to an unfocused beam.

Indexed as

beamformingharmonic backscatterimplantreal-time localizationultrasonic wireless power transfer

Identifiers

PMID31988699
PMCPMC6984372

What OpenQuestion holds

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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.