Evidence map›Paper›PMID 33748769›Full record

ArticleIEEE open journal of engineering in medicine and biology2021

Sub-Nanowatt Ultrasonic Bio-Telemetry Using B-Scan Imaging.

Sri Harsha Kondapalli, Shantanu Chakrabartty

Open access · goldAbstract read
In one paragraph

Article in IEEE open journal of engineering in medicine and biology, 2021. 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
0.1field-weighted citation impact, top 65% of its field
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, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 1 institution in 1 country.

Sri Harsha KondapalliDepartment of Electrical and Systems Engineering at Washington University in St. Louis, St. Louis, MO 63130 USA.ORCID 0000-0002-1691-6297
Shantanu ChakrabarttyDepartment of Electrical and Systems Engineering at Washington University in St. Louis, St. Louis, MO 63130 USA.ORCID 0000-0002-1688-6286
Washington University in St. Louis · US

Funding

Wireless, Self-Powered Sensors for Continuous and Long-term Monitoring of Spinal Fusion ProcessR21AR075242 · NIAMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ALAVI, AMIR, CHAKRABARTTY, SHANTANU · 2019 to 2020
$394k
NIAMS NIH HHS R21 AR075242
6 · The paper itself

Abstract

goalThe objective of this paper is to investigate if the use of a B-scan ultrasound imaging system can reduce the energy requirements, and hence the power-dissipation requirements to support wireless bio-telemetry at an implantable device.

methodsB-scan imaging data were acquired using a commercial 256-element linear ultrasound transducer array which was driven by a commercial echoscope. As a transmission medium, we used a water-bath and the operation of the implantable device was emulated using a commercial-off-the-shelf micro-controller board. The telemetry parameters (e.g. transmission rate and transmission power) were wirelessly controlled using a two-way radio-frequency transceiver. B-scan imaging data were post-processed using a maximum-threshold decoder and the quality of the ultrasonic telemetry link was quantified in terms of its bit-error-rate (BER).

resultsMeasured results show that a reliable B-scan communication link with an implantable device can be achieved at transmission power levels of 100 pW and for implantation depths greater than 10 cm.

conclusionsIn this paper we demonstrated that a combination of B-scan imaging and a simple decoding algorithm can significantly reduce the energy-budget requirements for reliable ultrasonic telemetry.

Indexed as

B-Scan imagingechoscopelow-power communicationultrasound telemetry

Identifiers

PMID33748769
PMCPMC7978362
OpenAlexW3123564418

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.