sEMG-Based Natural Control Interface for a Variable Stiffness Transradial Hand Prosthesis.

impedance modulation sEMG-based control interface tele-impedance control transradial hand prosthesis variable stiffness actuation

Journal

Frontiers in neurorobotics
ISSN: 1662-5218
Titre abrégé: Front Neurorobot
Pays: Switzerland
ID NLM: 101477958

Informations de publication

Date de publication:
2022
Historique:
received: 04 11 2021
accepted: 28 01 2022
entrez: 1 4 2022
pubmed: 2 4 2022
medline: 2 4 2022
Statut: epublish

Résumé

We propose, implement, and evaluate a natural human-machine control interface for a variable stiffness transradial hand prosthesis that achieves tele-impedance control through surface electromyography (sEMG) signals. This interface, together with variable stiffness actuation (VSA), enables an amputee to modulate the impedance of the prosthetic limb to properly match the requirements of a task while performing activities of daily living (ADL). Both the desired position and stiffness references are estimated through sEMG signals and used to control the VSA hand prosthesis. In particular, regulation of hand impedance is managed through the impedance measurements of the intact upper arm; this control takes place naturally and automatically as the amputee interacts with the environment, while the position of the hand prosthesis is regulated intentionally by the amputee through the estimated position of the shoulder. The proposed approach is advantageous since the impedance regulation takes place naturally without requiring amputees' attention and diminishing their functional capability. Consequently, the proposed interface is easy to use, does not require long training periods or interferes with the control of intact body segments. This control approach is evaluated through human subject experiments conducted over able volunteers where adequate estimation of references and independent control of position and stiffness are demonstrated.

Identifiants

pubmed: 35360833
doi: 10.3389/fnbot.2022.789341
pmc: PMC8963738
doi:

Types de publication

Journal Article

Langues

eng

Pagination

789341

Informations de copyright

Copyright © 2022 Hocaoglu and Patoglu.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Elif Hocaoglu (E)

Faculty of Engineering and Natural Sciences, Sabancı University, Istanbul, Turkey.
School of Engineering and Natural Sciences, Istanbul Medipol University, Istanbul, Turkey.

Volkan Patoglu (V)

Faculty of Engineering and Natural Sciences, Sabancı University, Istanbul, Turkey.

Classifications MeSH