Evidence map›Paper›PMID 36322960›Full record

ArticleBiomedical physics & engineering express2022

Design of electrical impedance spectroscopy sensing surgical drill using computational modelling and experimental validation.

Harshavardhan Devaraj, Ethan K Murphy, Ryan J Halter

Open access · greenAbstract read
In one paragraph

Article in Biomedical physics & engineering express, 2022. 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
0.2field-weighted citation impact, top 51% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

3 authors at 1 institution in 1 country.

Harshavardhan DevarajThayer School of Engineering, Dartmouth College, Hanover, NH 03766, United States of America.ORCID 0000-0002-7258-5795
Ethan K MurphyThayer School of Engineering, Dartmouth College, Hanover, NH 03766, United States of America.ORCID 0000-0002-4635-3384
Ryan J HalterThayer School of Engineering, Dartmouth College, Hanover, NH 03766, United States of America.ORCID 0000-0003-0222-3948
Dartmouth College · US

Funding

A Smart Sensing Drill to Reduce Incidence of Dental Implant ComplicationsR42DE028209 · NIDCR · RYTEK MEDICAL, INC. · PI HALTER, RYAN JOSEPH · 2018 to 2020
$1.7M
NIDCR NIH HHS R42 DE028209
6 · The paper itself

Abstract

Electrical Impedance Spectroscopy (EIS) sensing surgical instruments could provide valuable and real-time feedback to surgeons about hidden tissue boundaries, therefore reducing the risk of iatrogenic injuries. In this paper, we present an EIS sensing surgical drill as an example instrument and introduce a strategy to optimize the mono-polar electrode geometry using a finite element method (FEM)-based computational model and experimental validation. An empirical contact impedance model and an adaptive mesh refinement protocol were developed to accurately preserve the behaviour of sensing electrodes as they approach high impedance boundaries. Specifically, experiments with drill-bit, cylinder, and conical geometries suggested a 15%-35% increase in resistance as the sensing electrode approached a high impedance boundary. Simulations achieved a maximum mean experiment-to-simulation mismatch of +1.7% for the drill-bit and +/-11% range for other electrode geometries. The simulations preserved the increase in resistance behaviour near the high impedance boundary. This highly accurate simulation framework allows us a mechanism for optimizing sensor geometry without costly experimental evaluation.

Indexed as

Dielectric SpectroscopyComputer SimulationElectric ImpedanceElectrodesadaptive meshingcontact impedanceelectrical impedance spectroscopyelectrode modellingfinite element methodsensor design

Identifiers

PMID36322960
PMCPMC9988190
OpenAlexW4308060541

What OpenQuestion holds

Textmetadata
LicenceTDM
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.