Evidence map›Paper›PMID 34557082›Full record

ArticleFrontiers in neurorobotics2021

Exploring the Embodiment of a Virtual Hand in a Spatially Augmented Respiratory Biofeedback Setting.

Giacinto Barresi, Andrea Marinelli, Giulia Caserta, Massimiliano de Zambotti, Jacopo Tessadori, Laura Angioletti, Nicolò Boccardo, Marco Freddolini, Dario Mazzanti, Nikhil Deshpande and 5 more

Abstract read
In one paragraph

Article in Frontiers in neurorobotics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

15 authors.

Giacinto BarresiRehab Technologies, Istituto Italiano di Tecnologia, Genoa, Italy.
Andrea MarinelliRehab Technologies, Istituto Italiano di Tecnologia, Genoa, Italy.
Giulia CasertaRehab Technologies, Istituto Italiano di Tecnologia, Genoa, Italy.
Massimiliano de ZambottiCenter for Health Sciences, SRI International, Menlo Park, CA, United States.
Jacopo TessadoriVisual Geometry and Modelling, Istituto Italiano di Tecnologia, Genoa, Italy.
Laura AngiolettiInternational Research Center for Cognitive Applied Neuroscience, Università Cattolica del Sacro Cuore, Milan, Italy.
Nicolò BoccardoRehab Technologies, Istituto Italiano di Tecnologia, Genoa, Italy.
Marco FreddoliniRehab Technologies, Istituto Italiano di Tecnologia, Genoa, Italy.
Dario MazzantiAdvanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy.
Nikhil DeshpandeAdvanced Robotics, Istituto Italiano di Tecnologia, Genoa, Italy.
Carlo Albino FrigoMovement Biomechanics and Motor Control Lab, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Michela BalconiInternational Research Center for Cognitive Applied Neuroscience, Università Cattolica del Sacro Cuore, Milan, Italy.
Emanuele GruppioniCentro Protesi INAIL, Istituto Nazionale per l'Assicurazione contro gli Infortuni sul Lavoro, Bologna, Italy.
Matteo LaffranchiRehab Technologies, Istituto Italiano di Tecnologia, Genoa, Italy.
Lorenzo De MichieliRehab Technologies, Istituto Italiano di Tecnologia, Genoa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enhancing the embodiment of artificial limbs-the individuals' feeling that a virtual or robotic limb is integrated in their own body scheme-is an impactful strategy for improving prosthetic technology acceptance and human-machine interaction. Most studies so far focused on visuo-tactile strategies to empower the embodiment processes. However, novel approaches could emerge from self-regulation techniques able to change the psychophysiological conditions of an individual. Accordingly, this pilot study investigates the effects of a self-regulated breathing exercise on the processes of body ownership underlying the embodiment of a virtual right hand within a Spatially Augmented Respiratory Biofeedback (SARB) setting. This investigation also aims at evaluating the feasibility of the breathing exercise enabled by a low-cost SARB implementation designed for upcoming remote studies (a need emerged during the COVID-19 pandemic). Twenty-two subjects without impairments, and two transradial prosthesis users for a preparatory test, were asked (in each condition of a within-group design) to maintain a normal (about 14 breaths/min) or slow (about 6 breaths/min) respiratory rate to keep a static virtual right hand "visible" on a screen. Meanwhile, a computer-generated sphere moved from left to right toward the virtual hand during each trial (1 min) of 16. If the participant's breathing rate was within the target (slow or normal) range, a visuo-tactile event was triggered by the sphere passing under the virtual hand (the subjects observed it shaking while they perceived a vibratory feedback generated by a smartphone). Our results-mainly based on questionnaire scores and proprioceptive drift-highlight that the slow breathing condition induced higher embodiment than the normal one. This preliminary study reveals the feasibility and potential of a novel psychophysiological training strategy to enhance the embodiment of artificial limbs. Future studies are needed to further investigate mechanisms, efficacy and generalizability of the SARB techniques in training a bionic limb embodiment.

Indexed as

augmented realitybiofeedbackbreathingembodimentprostheticstraining

Identifiers

PMID34557082
PMCPMC8454775

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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.