Evidence map›Paper›PMID 38164548›Full record

ArticleeNeuro2024

Open-Source Instrumented Object to Study Dexterous Object Manipulation.

David Córdova Bulens, Sophie du Bois de Dunilac, Benoit P Delhaye, Philippe Lefèvre, Stephen J Redmond

Open access · goldAbstract read
In one paragraph

Article in eNeuro, 2024. 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
–field-weighted citation impact, top 80% 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, 0 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

5 authors at 2 institutions in 4 countries.

David Córdova BulensBiomedical Sensors & Signals Group, School of Electrical and Electronic Engineering, University College Dublin, D04V1W8, Dublin, Republic of Ireland david.cordovabulens@ucd.ie davidcordovabulens@gmail.com.ORCID https://orcid.org/0000-0003-2466-7179
Sophie du Bois de DunilacBiomedical Sensors & Signals Group, School of Electrical and Electronic Engineering, University College Dublin, D04V1W8, Dublin, Republic of Ireland.
Benoit P DelhayeInstitute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM), Université catholique de Louvain, 1348, Louvain-la-Neuve, Belgium.ORCID https://orcid.org/0000-0003-3974-7921
Philippe LefèvreInstitute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM), Université catholique de Louvain, 1348, Louvain-la-Neuve, Belgium.ORCID https://orcid.org/0000-0003-2032-3635
Stephen J RedmondBiomedical Sensors & Signals Group, School of Electrical and Electronic Engineering, University College Dublin, D04V1W8, Dublin, Republic of Ireland.
University College Dublin · IEInstitute of Information and Communication Technologies · BG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans use tactile feedback to perform skillful manipulation. When tactile sensory feedback is unavailable, for instance, if the fingers are anesthetized, dexterity is severely impaired. Imaging the deformation of the finger pad skin when in contact with a transparent plate provides information about the tactile feedback received by the central nervous system. Indeed, skin deformations are transduced into neural signals by the mechanoreceptors of the finger pad skin. Understanding how this feedback is used for active object manipulation would improve our understanding of human dexterity. In this paper, we present a new device for imaging the skin of the finger pad of one finger during manipulation performed with a precision grip. The device's mass (300 g) makes it easy to use during unconstrained dexterous manipulation. Using this device, we reproduced the experiment performed in Delhaye et al. (2021) We extracted the strains aligned with the object's movement, i.e., the vertical strains in the ulnar and radial parts of the fingerpad, to see how correlated they were with the grip force (GF) adaptation. Interestingly, parts of our results differed from those in Delhaye et al. (2021) due to weight and inertia differences between the devices, with average GF across participants differing significantly. Our results highlight a large variability in the behavior of the skin across participants, with generally low correlations between strain and GF adjustments, suggesting that skin deformations are not the primary driver of GF adaptation in this manipulation scenario.

Indexed as

SkinTouchFeedback, SensoryFingersHand StrengthHumansMovementInstrumented objectopen-sourceTactile feedback

Identifiers

PMID38164548
PMCPMC10849037
OpenAlexW4389765252

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.