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Embodiment of a virtual prosthesis through training using an EMG-based human-machine interface: Case series.

Authors :
Aparecida Rodrigues, Karina
Vitor da Silva Moreira, João
Lins Leal Pinheiro, Daniel José
Marques Dantas, Rodrigo Lantyer
Cardoso Santos, Thaís
Vieira Nepomuceno, João Luiz
Ratier Jajah Nogueira, Maria Angélica
Abrão Cavalheiro, Esper
Faber, Jean
Source :
Frontiers in Human Neuroscience; 8/4/2022, Vol. 16, p1-16, 16p
Publication Year :
2022

Abstract

Therapeutic strategies capable of inducing and enhancing prosthesis embodiment are a key point for better adaptation to and acceptance of prosthetic limbs. In this study, we developed a training protocol using an EMG-based human-machine interface (HMI) that was applied in the preprosthetic rehabilitation phase of people with amputation. This is a case series with the objective of evaluating the induction and enhancement of the embodiment of a virtual prosthesis. Six men and a woman with unilateral transfemoral traumatic amputation without previous use of prostheses participated in the study. Participants performed a training protocol with the EMG-based HMI, composed of six sessions held twice a week, each lasting 30 mins. This system consisted of myoelectric control of the movements of a virtual prosthesis immersed in a 3D virtual environment. Additionally, vibrotactile stimuli were provided on the participant’s back corresponding to the movements performed. Embodiment was investigated from the following set of measurements: skin conductance response (affective measurement), crossmodal congruency effect (spatial perception measurement), ability to control the virtual prosthesis (motor measurement), and reports before and after the training. The increase in the skin conductance response in conditions where the virtual prosthesis was threatened, recalibration of the peripersonal space perception identified by the crossmodal congruency effect, ability to control the virtual prosthesis, and participant reports consistently showed the induction and enhancement of virtual prosthesis embodiment. Therefore, this protocol using EMG-based HMI was shown to be a viable option to achieve and enhance the embodiment of a virtual prosthetic limb. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16625161
Volume :
16
Database :
Complementary Index
Journal :
Frontiers in Human Neuroscience
Publication Type :
Academic Journal
Accession number :
158636502
Full Text :
https://doi.org/10.3389/fnhum.2022.870103