Evidence map›Paper›PMID 32780753›Full record

ArticlePloS one2020

Conditioned haptic perception for 3D localization of nodules in soft tissue palpation with a variable stiffness probe.

Nicolas Herzig, Liang He, Perla Maiolino, Sara-Adela Abad, Thrishantha Nanayakkara

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. 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
0.8field-weighted citation impact, top 31% 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, 13 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

5 authors at 4 institutions in 1 country.

Nicolas HerzigDepartment of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, United Kingdom.ORCID 0000-0002-5845-2697
Liang HeDyson School of Design Engineering, Imperial College London, London, United Kingdom.ORCID 0000-0002-4493-4660
Perla MaiolinoOxford Robotics Institute, University of Oxford, Oxford, United Kingdom.
Sara-Adela AbadDepartment of Mechanical Engineering, University College London, London, United Kingdom.ORCID 0000-0002-3471-6942
Thrishantha NanayakkaraDyson School of Design Engineering, Imperial College London, London, United Kingdom.
Dyson (United Kingdom) · GBUniversity College London · GBUniversity of Oxford · GBUniversity of Sheffield · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper provides a solution for fast haptic information gain during soft tissue palpation using a Variable Lever Mechanism (VLM) probe. More specifically, we investigate the impact of stiffness variation of the probe to condition likelihood functions of the kinesthetic force and tactile sensors measurements during a palpation task for two sweeping directions. Using knowledge obtained from past probing trials or Finite Element (FE) simulations, we implemented this likelihood conditioning in an autonomous palpation control strategy. Based on a recursive Bayesian inferencing framework, this new control strategy adapts the sweeping direction and the stiffness of the probe to detect abnormal stiff inclusions in soft tissues. This original control strategy for compliant palpation probes shows a sub-millimeter accuracy for the 3D localization of the nodules in a soft tissue phantom as well as a 100% reliability detecting the existence of nodules in a soft phantom.

Indexed as

Mechanical PhenomenaPalpationTouch PerceptionAlgorithmsBiomechanical PhenomenaFinite Element AnalysisPhantoms, Imaging

Identifiers

PMID32780753
PMCPMC7419002
OpenAlexW3048669518

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.